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Search Results for 'LLM' (90 products)

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LLM Engineer's Handbook
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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LLM Engineer's Handbook
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Oct 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (13)
Paperback 522 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (13)
Master the art of engineering large language models from concept to production
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Paperback eBook
  • 9781836200062 eBook €43.99
  • 9781836200079 Paperback €54.99
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LLM Engineer's Handbook
Master the art of engineering large language models from concept to production
Description
Artificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.
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Oct 2024 522 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Paul Iusztin
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eBook €43.99
Paperback €54.99
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Mastering NLP from Foundations to LLMs
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Mastering NLP from Foundations to LLMs
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Apr 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (24)
Paperback 340 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (24)
Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
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Paperback eBook
  • 9781804616383 eBook €21.99
  • 9781804619186 Paperback €27.98
€21.99 €31.99
€27.98 €39.99
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Mastering NLP from Foundations to LLMs
Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
Description
Do you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.
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Apr 2024 340 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Gazit
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eBook €21.99 €31.99
Paperback €27.98 €39.99
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Building LLM Powered Applications
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Building LLM Powered Applications
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May 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2 (22)
Paperback 342 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2 (22)
Create intelligent apps and agents with large language models
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Paperback eBook
  • 9781835462638 eBook €20.98
  • 9781835462317 Paperback €25.99
€20.98 €29.99
€25.99 €37.99
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Building LLM Powered Applications
Create intelligent apps and agents with large language models
Description
Building LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities. The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio. Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.
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May 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
342 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Valentina Alto
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eBook €20.98 €29.99
Paperback €25.99 €37.99
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LLM Prompt Engineering for Developers
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LLM Prompt Engineering for Developers
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May 2024
EBook 251 pages
The Art and Science of Unlocking LLMs' True Potential
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LLM Prompt Engineering for Developers
The Art and Science of Unlocking LLMs' True Potential
Description
"LLM Prompt Engineering For Developers" begins by laying the groundwork with essential principles of natural language processing (NLP), setting the stage for more complex topics. It methodically guides readers through the initial steps of understanding how large language models work, providing a solid foundation that prepares them for the more intricate aspects of prompt engineering. As you proceed, the book transitions into advanced strategies and techniques that reveal how to effectively interact with and utilize these powerful models. From crafting precise prompts that enhance model responses to exploring innovative methods like few-shot and zero-shot learning, this resource is designed to unlock the full potential of language model technology. This book not only teaches the technical skills needed to excel in the field but also addresses the broader implications of AI technology. It encourages thoughtful consideration of ethical issues and the impact of AI on society. By the end of this book, readers will master the technical aspects of prompt engineering & appreciate the importance of responsible AI development, making them well-rounded professionals ready to focus on the advancement of this cutting-edge technology.
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May 2024 251 pages
AI Assistant AI Assistant
Authors
Author Aymen El Amri
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eBook €14.99
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LangChain Masterclass - Build 15 OpenAI and LLAMA 2 LLM Apps Using Python
LangChain Masterclass - Build 15 OpenAI and LLAMA 2 LLM Apps Using Python
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Sep 2023
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.3 (4)
Video 9hrs 59mins
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.3 (4)
Master LangChain, Pinecone, OpenAI, and LLAMA 2 LLM for Real-World AI Apps with Streamlit's Hugging Face
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LangChain Masterclass - Build 15 OpenAI and LLAMA 2 LLM Apps Using Python
Master LangChain, Pinecone, OpenAI, and LLAMA 2 LLM for Real-World AI Apps with Streamlit's Hugging Face
Description
Unlock the boundless possibilities of AI and language-based applications with our LangChain Masterclass. In this comprehensive course, you will embark on a transformative journey through the realms of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guided by experts in the field. In this course, you will embark on a journey through a diverse range of projects designed to deepen your understanding and application of cutting-edge technologies. These hands-on endeavors encompass a broad spectrum of applications, from creating dynamic question-answering applications powered by LangChain, OpenAI, and Hugging Face Spaces, to developing engaging conversational bots that enhance user interactions. You will even venture into the realm of educational AI, crafting customized experiences for children. As you progress, you will build captivating marketing campaigns, explore the world of summarization-enriched chatbots, and streamline tasks such as multiple-choice quiz creation and CSV data analysis. Plus, you will discover how to optimize HR processes, simplify email customization, and extract vital invoice details. With projects spanning from text-to-SQL query assistance to customer care call summaries, this course equips you with a comprehensive toolkit for advancing your skills and revolutionizing various domains of AI and software development. By the end of this course, you will not only have a strong grasp of LangChain’s capabilities but also a robust portfolio of AI applications that showcases your expertise.
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Full star icon Full star icon Full star icon Full star icon Full star icon 5
9hrs 59mins
Published : Sep 2023
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Sharath Raju
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Video €14.99
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Essential Guide to LLMOps
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Essential Guide to LLMOps
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Jul 2024
Paperback 190 pages
Implementing effective strategies for Large Language Models in deployment and continuous improvement
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  • 9781835887516 eBook €17.99
  • 9781835887509 Paperback €33.99
€17.99 €26.99
€33.99
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Essential Guide to LLMOps
Implementing effective strategies for Large Language Models in deployment and continuous improvement
Description
The rapid advancements in large language models (LLMs) bring significant challenges in deployment, maintenance, and scalability. This Essential Guide to LLMOps provides practical solutions and strategies to overcome these challenges, ensuring seamless integration and the optimization of LLMs in real-world applications. This book takes you through the historical background, core concepts, and essential tools for data analysis, model development, deployment, maintenance, and governance. You’ll learn how to streamline workflows, enhance efficiency in LLMOps processes, employ LLMOps tools for precise model fine-tuning, and address the critical aspects of model review and governance. You’ll also get to grips with the practices and performance considerations that are necessary for the responsible development and deployment of LLMs. The book equips you with insights into model inference, scalability, and continuous improvement, and shows you how to implement these in real-world applications. By the end of this book, you’ll have learned the nuances of LLMOps, including effective deployment strategies, scalability solutions, and continuous improvement techniques, equipping you to stay ahead in the dynamic world of AI.
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Jul 2024 190 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Ryan Doan
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eBook €17.99 €26.99
Paperback €33.99
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The Complete LangChain & LLMs Guide
The Complete LangChain & LLMs Guide
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Feb 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (3)
Video 8hrs 43mins
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (3)
Master AI: Python & LangChain Projects with OpenAI LLMs
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€82.99
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The Complete LangChain & LLMs Guide
Master AI: Python & LangChain Projects with OpenAI LLMs
Description
This comprehensive masterclass takes you on a transformative journey into the realm of LangChain and Large Language Models, equipping you with the skills to build autonomous AI tools. Starting with the basics, you'll set up your development environment, including OpenAI API and Python, and progress to advanced topics like LangChain's architecture, prompt templates, and parsers. The course meticulously guides you through creating complex chains, memory models, and agents, culminating in the development of practical applications such as PDF extractors, newsletter generators, and multi-document chatbots. With hands-on tutorials, you'll learn to leverage LangChain for tasks ranging from document loading and splitting to embedding vector stores for semantic similarity searches. By the end, you'll have the knowledge to implement AI in creative and impactful ways, from image-to-text conversion to building interactive chatbots and more, all while navigating the ethical considerations of AI deployment.
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8hrs 43mins
Published : Feb 2024
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Paulo Dichone
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Video €82.99
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LLM Security Workshop – Tackling OWASP's Top 10 Risks Head-On
LLM Security Workshop – Tackling OWASP's Top 10 Risks Head-On
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Dec 2023
Video 2hrs
A hands-on guide to securing large language models against OWASP's top 10 risks
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Video Video
€59.99
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LLM Security Workshop – Tackling OWASP's Top 10 Risks Head-On
A hands-on guide to securing large language models against OWASP's top 10 risks
Description
LLMs introduce new attack vectors that can compromise your AI systems. This intensive workshop equips you with hands-on skills to tackle the OWASP Top 10 most critical risks for securing enterprise-grade LLM applications. Led by cybersecurity expert Clint Bodungen, this masterclass focuses on fortifying your LLM stack against the OWASP Top 10 most critical risks. Diving deep into the attack vectors unique to these powerful generative models, you will learn hands-on techniques to safeguard your apps built on large language models. The workshop covers a wide range of practical methods to harden your LLM security posture. You will discover how to protect against supply chain attacks through vulnerable third-party code, libraries, models and plugins. The session outlines processes to prevent unauthorized data access, theft of proprietary data, and poisoning of your training dataset. Through interactive examples and sample code, you will grasp approaches to filter malicious user input, sanitize model outputs, and implement robust validation mechanisms. The workshop specially focuses on skill-building around prompt engineering as a powerful mechanism to keep generative models restricted within secure guardrails.
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2hrs
Published : Dec 2023
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Clint Bodungen
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Video €59.99
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Harnessing Open Source LLMs and ChatGPT with Minimal Code
Harnessing Open Source LLMs and ChatGPT with Minimal Code
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Jul 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (5)
Video 1hr 59mins
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (5)
Explore Large Language Models with Open Source Innovations like LLama3 and ChatGPT
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Video Video
€59.99
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Harnessing Open Source LLMs and ChatGPT with Minimal Code
Explore Large Language Models with Open Source Innovations like LLama3 and ChatGPT
Description
Welcome to the captivating world of Large Language Models (LLMs)! This course is designed to guide you through the fascinating landscape of LLMs, encompassing both no-code and low-code solutions powered by Python. We begin by equipping you with the necessary software to operate these models locally, enabling you to explore various open-source models, including Google’s Gemma:7b and Llama3, without the need for an internet connection. In the advanced section, you will delve into using Python for streaming responses from open-source LLMs and integrating with the official OpenAI API. The course covers low code solutions for streaming ChatGPT responses and introduces function calling within ChatGPT models. You'll also learn about the llama3 model and how to interface it with Python for web applications. Throughout the course, you'll gain experience fetching responses in both batch and streaming modes, and we will jointly develop a small web frontend using Streamlit for our streaming LLM API. By the end of the course, you'll be equipped to run open-source LLMs locally and leverage their capabilities to the fullest.
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1hr 59mins
Published : Jul 2024
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Dan We
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Video €59.99
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Prompt Engineering – For Optimal LLM Performance
Prompt Engineering – For Optimal LLM Performance
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Dec 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1)
Video
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1)
A masterclass on prompt engineering techniques for optimal large language model performance
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Prompt Engineering – For Optimal LLM Performance
A masterclass on prompt engineering techniques for optimal large language model performance
Description
Prompt engineering is key to harnessing the immense capabilities of large language models. In this in-depth masterclass, data and AI specialist Valentina Alto unveils the art and science behind crafting effective prompts. You’ll learn proven techniques to optimize prompting, control model behavior, reduce risks like hallucination, and overcome limitations. Valentina provides specific strategies to make your LLMs more precise, aligned to your goals, and production ready. With her deep expertise and hands-on guidance, you’ll be able to create prompts that act as precise instructions enabling your large language models to deliver peak performance. This masterclass equips you with prompt engineering skills to build conversative AI applications that leverage the full potential of LLMs.
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Full star icon Full star icon Full star icon Full star icon Full star icon 5
Published : Dec 2023
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Valentina Alto
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Video €37.99
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Build Apps and Fine-Tune LLMs Using the OpenAI API
Build Apps and Fine-Tune LLMs Using the OpenAI API
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Dec 2023
Video 2hrs 57mins
All you need to harness the power of ChatGPT and OpenAI API to build powerful applications in Python
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€44.99
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Build Apps and Fine-Tune LLMs Using the OpenAI API
All you need to harness the power of ChatGPT and OpenAI API to build powerful applications in Python
Description
This hands-on course on OpenAI API and ChatGPT is a meticulously crafted course that caters to both beginners and seasoned professionals. You will begin by establishing a solid foundation with AI definitions and acronyms, progressing seamlessly to creating an OpenAI account, setting up your environment, and understanding pricing structures. Next, you will learn to navigate the landscape of language models and transformers, unraveling their transformative power in generative AI. Dive into advanced techniques such as prompt engineering and thought prompting, gaining insights into how language models process prompts with encoders. Real-world applications come to life as you explore translating articles, generating images, and utilizing the text-to-speech and Computer Vision APIs for diverse tasks. From basic to advanced translation techniques, including subtitle translation to multiple languages, the course ensures that you are equipped for a broad spectrum of applications. Finally, grasp the nuances of fine-tuning, deploy models with the OpenAI API, and navigate the ethical considerations with dos and don’ts in AI. By the end of the course, you will gain the expertise needed to use the capabilities of ChatGPT and OpenAI API for language tasks.
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2hrs 57mins
Published : Dec 2023
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Delta X Technology LLC
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Video €44.99
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Coding with ChatGPT and Other LLMs
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
AI Assistant Coming Soon Coming Soon
Coding with ChatGPT and Other LLMs
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Nov 2024
Paperback 304 pages
Navigate LLMs for effective coding, debugging, and AI-driven development
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Coding with ChatGPT and Other LLMs
Navigate LLMs for effective coding, debugging, and AI-driven development
Description
Keeping up with the AI revolution and its application in coding can be challenging, but with guidance from AI and ML expert Dr. Vincent Hall—who holds a PhD in machine learning and has extensive experience in licensed software development—this book helps both new and experienced coders to quickly adopt best practices and stay relevant in the field. You’ll learn how to use LLMs such as ChatGPT and Bard to produce efficient, explainable, and shareable code and discover techniques to maximize the potential of LLMs. The book focuses on integrated development environments (IDEs) and provides tips to avoid pitfalls, such as bias and unexplainable code, to accelerate your coding speed. You’ll master advanced coding applications with LLMs, including refactoring, debugging, and optimization, while examining ethical considerations, biases, and legal implications. You’ll also use cutting-edge tools for code generation, architecting, description, and testing to avoid legal hassles while advancing your career. By the end of this book, you’ll be well-prepared for future innovations in AI-driven software development, with the ability to anticipate emerging LLM technologies and generate ideas that shape the future of development.
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Nov 2024 304 pages
AI Assistant AI Assistant Coming Soon Coming Soon
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Dr. Vincent Austin Hall
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LLMs in Enterprise
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
AI Assistant Early Access Early Access
LLMs in Enterprise
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Apr 2025
Paperback
Design strategies for large language model development, design patterns and best practices
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LLMs in Enterprise
Design strategies for large language model development, design patterns and best practices
Description
The integration of Large Language Models (LLMs) into enterprise applications marks a significant advancement in how businesses leverage AI for enhanced decision-making and operational efficiency. This book is an essential guide for professionals seeking to integrate LLMs within their enterprise applications. "LLMs in Enterprise" not only demystifies the complexity behind LLM deployment but also provides a structured approach to enhancing decision-making and operational efficiency with AI. Starting with an introduction to the foundational concepts of LLMs, the book swiftly moves to practical applications, emphasizing real-world challenges and solutions. It covers a range of topics from data strategies. We explore various design patterns that are particularly effective in optimizing and deploying LLMs in enterprise environments. From fine-tuning strategies to advanced inferencing patterns, the book provides a toolkit for harnessing the power of LLMs to solve complex challenges and drive innovation in business processes. By the end of this book, you will have a deep understanding of various design patterns for LLMs and how to implement these patterns to enhance the performance and scalability of their Generative AI solutions.
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Apr 2025
AI Assistant AI Assistant Early Access Early Access
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Early Access: Early Access to all the eBooks as they are being written
Authors
Author Ahmed Menshawy
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LLMs Under the Hood – Building Models for Your Unique Use Cases
LLMs Under the Hood – Building Models for Your Unique Use Cases
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Jan 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1)
Video 4hrs 2mins
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1)
A comprehensive guide to building, optimizing, and deploying large language models
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€59.99
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LLMs Under the Hood – Building Models for Your Unique Use Cases
A comprehensive guide to building, optimizing, and deploying large language models
Description
This in-depth masterclass provides end-to-end coverage of developing enterprise-grade LLMs tailored to your unique use cases. Led by experts Maxime Labonne, Dennis Rothman, and Abi Aryan, this video delivers the advanced skills needed to architect performant LLMs that deliver real business impact. You'll learn how to make crucial architecture decisions, select optimal model types, configure hyperparameters, and curate quality training data. Discover professional techniques for pre-training, iterative fine-tuning, and rigorous model evaluation. The instructors reveal insider strategies to productionize your LLMs smoothly, monitor them proactively, and maintain optimal performance post-deployment. Following a structured curriculum spanning the complete LLM lifecycle, this masterclass empowers you with hands-on skills to build, refine, and deploy large language models with confidence. Turbocharge your generative AI initiatives and get the practical knowledge needed to create LLMs that solve complex challenges for your organization.
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4hrs 2mins
Published : Jan 2024
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Abi Aryan
Author Maxime Labonne
Author Denis Rothman
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Video €59.99
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Harnessing LLMs & Text-Embeddings API with Google Vertex AI
Harnessing LLMs & Text-Embeddings API with Google Vertex AI
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Sep 2024
Video 1hr 51mins
Master Google Vertex AI's Text-Embeddings API for Advanced AI Solutions
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€67.99
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Harnessing LLMs & Text-Embeddings API with Google Vertex AI
Master Google Vertex AI's Text-Embeddings API for Advanced AI Solutions
Description
This course takes you on an in-depth journey through the capabilities of Google Vertex AI's Text-Embeddings API. Beginning with an overview of the prerequisites and course structure, you’ll establish a solid foundation by setting up your development environment and configuring your Google Cloud Platform. This preparation is crucial as you delve into the intricacies of Vertex AI and begin generating sentence embeddings. As the course progresses, you'll explore the core functionalities of Vertex AI and the fundamentals of embeddings, including their applications in Generative AI and LLMs. With a focus on real-world scenarios, you’ll engage in hands-on exercises to visualize embeddings, conduct similarity searches, and comprehend the use of text and multimodal embeddings. Each module builds on the last, deepening your understanding and preparing you to tackle more complex tasks. By the end of the course, you’ll be proficient in using the Text-Embeddings API for various applications, including text generation and information extraction. You’ll learn to build and scale solutions like a Retrieval-Augmented Generation (RAG) system and visualize data in meaningful ways. This comprehensive approach ensures that you understand their practical value, making you well-equipped to leverage Vertex AI in your projects.
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1hr 51mins
Published : Sep 2024
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Paulo Dichone
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Video €67.99
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Preprocessing Unstructured Data for LLMs and RAG Systems
Preprocessing Unstructured Data for LLMs and RAG Systems
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Sep 2024
Video 3hrs 1min
Unlock the Power of Unstructured Data for LLMs and Retrieval-Augmented Generation Systems.
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€67.99
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Preprocessing Unstructured Data for LLMs and RAG Systems
Unlock the Power of Unstructured Data for LLMs and Retrieval-Augmented Generation Systems.
Description
This course offers an in-depth exploration of preprocessing unstructured data for large language models and retrieval-augmented generation systems. You’ll start by setting up your development environment and configuring essential APIs, ensuring a solid technical foundation. Next, you’ll dive into data preprocessing techniques, tackling challenges like content extraction, cleaning, and data normalization, making your data ready for advanced AI models. As you progress, the course provides hands-on experience with various document types such as PDFs, HTML, and PPTX files. You’ll learn to transform these unstructured formats into structured data that AI systems can easily process. Advanced modules cover chunking, metadata extraction, and handling complex documents using cutting-edge techniques like visual transformers and document layout detectors. The final section guides you in building a complete RAG system using the skills acquired throughout the course. You’ll preprocess diverse documents, implement semantic similarity searches, and save elements to a vector database. By the end, you’ll be equipped to create intelligent data pipelines and interact with your documents using AI, significantly enhancing your data-driven projects.
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3hrs 1min
Published : Sep 2024
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Author Paulo Dichone
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Generative AI with Python and PyTorch
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Generative AI with Python and PyTorch
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Dec 2024
Paperback 500 pages
Hands-on projects and cutting-edge techniques using generative adversarial networks and LLMs
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Generative AI with Python and PyTorch
Hands-on projects and cutting-edge techniques using generative adversarial networks and LLMs
Description
Become an expert in generative AI through practical projects to leverage cutting-edge models for Natural Language Processing (NLP) and computer vision. Generative AI with Python and PyTorch, Second Edition, is your comprehensive guide to creating advanced AI applications. Leveraging Python, this book provides a detailed exploration of the latest generative AI technologies. From NLP to image generation, this edition dives into practical applications and the underlying theories that enable these technologies. By integrating the latest advancements and applications of large language models, this book prepares you to design and implement powerful AI systems that transform data into actionable insights. You’ll build your LLM toolbox by learning about various models, tools, and techniques, including GPT-4, LangChain, RLHF, LoRA, and retrieval augmented generation. This deep learning book shows you how to generate images and apply styler transfer using GANs, before implementing CLIP and diffusion models. Whether you’re creating dynamic content or developing complex AI-driven solutions, Generative AI with Python and PyTorch, Second Edition, equips you with the knowledge to use Python and AI to their full potential.
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Dec 2024 500 pages
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Early Access: Early Access to all the eBooks as they are being written
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Author Joseph Babcock
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Mastering PyTorch
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Mastering PyTorch
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May 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (18)
Paperback 558 pages
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Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
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Mastering PyTorch
Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
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PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models. You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You'll not only build and train your own deep reinforcement learning models in PyTorch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy PyTorch models to production, including mobile devices. Finally, you’ll discover the PyTorch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and PyTorch Lightning to train models. You’ll discover libraries for AutoML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face. By the end of this book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.
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May 2024 558 pages
AI Assistant AI Assistant
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Author Ashish Ranjan Jha
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Python Natural Language Processing Cookbook
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Python Natural Language Processing Cookbook
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Sep 2024
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Paperback 312 pages
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Over 60 recipes for building powerful NLP solutions using Python and LLM libraries
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Python Natural Language Processing Cookbook
Over 60 recipes for building powerful NLP solutions using Python and LLM libraries
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Harness the power of Natural Language Processing to overcome real-world text analysis challenges with this recipe-based roadmap written by two seasoned NLP experts with vast experience transforming various industries with their NLP prowess. You’ll be able to make the most of the latest NLP advancements, including large language models (LLMs), and leverage their capabilities through Hugging Face transformers. Through a series of hands-on recipes, you’ll master essential techniques such as extracting entities and visualizing text data. The authors will expertly guide you through building pipelines for sentiment analysis, topic modeling, and question-answering using popular libraries like spaCy, Gensim, and NLTK. You’ll also learn to implement RAG pipelines to draw out precise answers from a text corpus using LLMs. This second edition expands your skillset with new chapters on cutting-edge LLMs like GPT-4, Natural Language Understanding (NLU), and Explainable AI (XAI)—fostering trust and transparency in your NLP models. By the end of this book, you'll be equipped with the skills to apply advanced text processing techniques, use pre-trained transformer models, build custom NLP pipelines to extract valuable insights from text data to drive informed decision-making.
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Sep 2024 312 pages
AI Assistant AI Assistant
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Author Zhenya Antić
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Building Data-Driven Applications with LlamaIndex
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Building Data-Driven Applications with LlamaIndex
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May 2024
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Paperback 368 pages
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A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
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Building Data-Driven Applications with LlamaIndex
A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
Description
Discover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional ‘hallucinations’. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex's capabilities and applications. By the end, you'll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.
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May 2024
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368 pages
AI Assistant AI Assistant
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Author Andrei Gheorghiu
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Decoding Large Language Models
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Decoding Large Language Models
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Oct 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1)
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An exhaustive guide to understanding, implementing, and optimizing LLMs for NLP applications
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Decoding Large Language Models
An exhaustive guide to understanding, implementing, and optimizing LLMs for NLP applications
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Ever wondered how large language models (LLMs) work and how they're shaping the future of artificial intelligence? Written by a renowned author and AI, AR, and data expert, Decoding Large Language Models is a combination of deep technical insights and practical use cases that not only demystifies complex AI concepts, but also guides you through the implementation and optimization of LLMs for real-world applications. You’ll learn about the structure of LLMs, how they're developed, and how to utilize them in various ways. The chapters will help you explore strategies for improving these models and testing them to ensure effective deployment. Packed with real-life examples, this book covers ethical considerations, offering a balanced perspective on their societal impact. You’ll be able to leverage and fine-tune LLMs for optimal performance with the help of detailed explanations. You’ll also master techniques for training, deploying, and scaling models to be able to overcome complex data challenges with confidence and precision. This book will prepare you for future challenges in the ever-evolving fields of AI and NLP. By the end of this book, you’ll have gained a solid understanding of the architecture, development, applications, and ethical use of LLMs and be up to date with emerging trends, such as GPT-5.
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Oct 2024 396 pages
AI Assistant AI Assistant
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Author Irena Cronin
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Building AI Intensive Python Applications
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Building AI Intensive Python Applications
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Sep 2024
Paperback 298 pages
Create intelligent apps with LLMs and vector databases
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Building AI Intensive Python Applications
Create intelligent apps with LLMs and vector databases
Description
The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications. The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance. By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.
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Sep 2024 298 pages
AI Assistant AI Assistant
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Author Rachelle Palmer
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Generative AI with LangChain
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Generative AI with LangChain
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Dec 2023
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Paperback 368 pages
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Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
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Generative AI with LangChain
Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
Description
ChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Gemini. It demonstrates, in a series of practical examples, how to use the LangChain framework to build production-ready and responsive LLM applications for tasks ranging from customer support to software development assistance and data analysis – illustrating the expansive utility of LLMs in real-world applications. Unlock the full potential of LLMs within your projects as you navigate through guidance on fine-tuning, prompt engineering, and best practices for deployment and monitoring in production environments. Whether you're building creative writing tools, developing sophisticated chatbots, or crafting cutting-edge software development aids, this book will be your roadmap to mastering the transformative power of generative AI with confidence and creativity.
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Dec 2023
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368 pages
AI Assistant AI Assistant
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Author Ben Auffarth
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Generative AI Foundations in Python
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Jul 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (5)
Paperback 190 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (5)
Discover key techniques and navigate modern challenges in LLMs
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  • 9781835464915 eBook €15.99
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Generative AI Foundations in Python
Discover key techniques and navigate modern challenges in LLMs
Description
The intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application. Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs. By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.
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Jul 2024 190 pages
AI Assistant AI Assistant
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Author Carlos Rodriguez
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Modern Generative AI with ChatGPT and OpenAI Models
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Modern Generative AI with ChatGPT and OpenAI Models
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May 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2 (34)
Paperback 286 pages
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Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4
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Modern Generative AI with ChatGPT and OpenAI Models
Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4
Description
Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You’ll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data. Next, you’ll explore use cases where ChatGPT can boost productivity and enhance creativity. You’ll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster. You’ll also discover enterprise-level scenarios that leverage OpenAI models’ APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you’ll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications. By the end of this book, you’ll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models’ APIs in your own projects.
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May 2023
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286 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Valentina Alto
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UX for Enterprise ChatGPT Solutions
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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UX for Enterprise ChatGPT Solutions
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Sep 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (5)
Paperback 446 pages
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A practical guide to designing enterprise-grade LLMs
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  • 9781835463802 eBook €15.99
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UX for Enterprise ChatGPT Solutions
A practical guide to designing enterprise-grade LLMs
Description
Many enterprises grapple with new technology, often hopping on the bandwagon only to abandon it when challenges emerge. This book is your guide to seamlessly integrating ChatGPT into enterprise solutions with a UX-centered approach. UX for Enterprise ChatGPT Solutions empowers you to master effective use case design and adapt UX guidelines through an engaging learning experience. Discover how to prepare your content for success by tailoring interactions to match your audience’s voice, style, and tone using prompt-engineering and fine-tuning. For UX professionals, this book is the key to anchoring your expertise in this evolving field. Writers, researchers, product managers, and linguists will learn to make insightful design decisions. You’ll explore use cases like ChatGPT-powered chat and recommendation engines, while uncovering the AI magic behind the scenes. The book introduces a and feeding model, enabling you to leverage feedback and monitoring to iterate and refine any Large Language Model solution. Packed with hundreds of tips and tricks, this guide will help you build a continuous improvement cycle suited for AI solutions. By the end, you’ll know how to craft powerful, accurate, responsive, and brand-consistent generative AI experiences, revolutionizing your organization’s use of ChatGPT.
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Sep 2024 446 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Author Richard H. Miller
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Generative AI for Cloud Solutions
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Generative AI for Cloud Solutions
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Apr 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (9)
Paperback 300 pages
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Architect modern AI LLMs in secure, scalable, and ethical cloud environments
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  • 9781835080160 eBook €17.99
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Generative AI for Cloud Solutions
Architect modern AI LLMs in secure, scalable, and ethical cloud environments
Description
Generative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.
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Apr 2024 300 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Paul Singh
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Gen AI - RAG Application Development using LlamaIndex
Gen AI - RAG Application Development using LlamaIndex
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Jul 2024
Video 7hrs 38mins
Master LLM Applications with LlamaIndex
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Gen AI - RAG Application Development using LlamaIndex
Master LLM Applications with LlamaIndex
Description
This course begins by introducing foundational concepts of Large Language Models (LLMs) and their applications, focusing on LlamaIndex. You'll set up your development environment and create your first LlamaIndex program, covering essential topics like advanced prompt engineering. As you progress, you'll delve deeper into LlamaIndex functionalities, including formatting prompt templates, designing conversational prompts, and using semantic similarity evaluators. The course also covers language embeddings, vector databases, and integrating LlamaIndex with SQL and Chroma DB vector databases. You'll learn to set up various query pipelines, such as sequential, DAG, and dataframe pipelines, for efficient handling of complex queries. In the final section, you'll apply your knowledge to practical scenarios. You'll build a calculator using a ReAct agent, develop a document agent with dynamically built tools, and construct a code checker with a Streamlit UI. Each module is designed to enhance your skills in creating versatile, AI-driven applications, preparing you to tackle real-world challenges in AI development.
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7hrs 38mins
Published : Jul 2024
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Manas Dasgupta
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Video €67.99
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Machine Learning Engineering on AWS
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AI Assistant Coming Soon Coming Soon
Machine Learning Engineering on AWS
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Feb 2025
Paperback
Operationalize and optimize Generative AI systems and LLMOps pipelines in production
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Machine Learning Engineering on AWS
Operationalize and optimize Generative AI systems and LLMOps pipelines in production
Description
The widespread of solutions powered by generative AI and large language models has led to a surge in the demand for machine learning engineers capable of building, managing, and scaling complex Gen AI-powered applications and systems. This book starts by introducing relevant concepts such as Machine Learning Engineering, Generative AI, Large Language Models (LLMs), and MLOps. As you progress through each of the chapters of the book, you will learn how to leverage these concepts as well as various AWS services and solutions to build, manage, and optimize machine learning systems. In addition to this, you'll discover how to automate the LLMOps pipeline, optimize deep learning experiments, and make use of proven deployment strategies when dealing with LLMs. You'll also learn how to create Gen AI applications powered by retrieval-augmented generation (RAG). To help expand your knowledge and elevate your expertise on machine learning engineering, each chapter includes practical examples and clear explanations to help you manage, troubleshoot, and optimize Generative AI systems running on AWS. By the end of this book, you'll be able to operationalize and secure Generative AI applications on AWS, which will give you the experience and confidence needed for solving a wide variety of ML engineering challenges and requirements.
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Feb 2025
AI Assistant AI Assistant Coming Soon Coming Soon
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Author Joshua Arvin Lat
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RAG-Driven Generative AI
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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RAG-Driven Generative AI
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Sep 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (13)
Paperback 334 pages
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Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
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RAG-Driven Generative AI
Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
Description
RAG-Driven Generative AI provides a roadmap for building effective LLM, computer vision, and generative AI systems that balance performance and costs. This book offers a detailed exploration of RAG and how to design, manage, and control multimodal AI pipelines. By connecting outputs to traceable source documents, RAG improves output accuracy and contextual relevance, offering a dynamic approach to managing large volumes of information. This AI book shows you how to build a RAG framework, providing practical knowledge on vector stores, chunking, indexing, and ranking. You’ll discover techniques to optimize your project’s performance and better understand your data, including using adaptive RAG and human feedback to refine retrieval accuracy, balancing RAG with fine-tuning, implementing dynamic RAG to enhance real-time decision-making, and visualizing complex data with knowledge graphs. You’ll be exposed to a hands-on blend of frameworks like LlamaIndex and Deep Lake, vector databases such as Pinecone and Chroma, and models from Hugging Face and OpenAI. By the end of this book, you will have acquired the skills to implement intelligent solutions, keeping you competitive in fields from production to customer service across any project.
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Sep 2024 334 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Denis Rothman
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Unlocking Data with Generative AI and RAG
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Unlocking Data with Generative AI and RAG
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Sep 2024
Paperback 346 pages
Enhance generative AI systems by integrating internal data with large language models using RAG
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Unlocking Data with Generative AI and RAG
Enhance generative AI systems by integrating internal data with large language models using RAG
Description
Generative AI is helping organizations tap into their data in new ways, with retrieval-augmented generation (RAG) combining the strengths of large language models (LLMs) with internal data for more intelligent and relevant AI applications. The author harnesses his decade of ML experience in this book to equip you with the strategic insights and technical expertise needed when using RAG to drive transformative outcomes. The book explores RAG’s role in enhancing organizational operations by blending theoretical foundations with practical techniques. You’ll work with detailed coding examples using tools such as LangChain and Chroma’s vector database to gain hands-on experience in integrating RAG into AI systems. The chapters contain real-world case studies and sample applications that highlight RAG’s diverse use cases, from search engines to chatbots. You’ll learn proven methods for managing vector databases, optimizing data retrieval, effective prompt engineering, and quantitatively evaluating performance. The book also takes you through advanced integrations of RAG with cutting-edge AI agents and emerging non-LLM technologies. By the end of this book, you’ll be able to successfully deploy RAG in business settings, address common challenges, and push the boundaries of what’s possible with this revolutionary AI technique.
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Sep 2024 346 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Keith Bourne
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50 Algorithms Every Programmer Should Know
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50 Algorithms Every Programmer Should Know
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Sep 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (67)
Paperback 538 pages
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Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
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  • 9781803246475 eBook €20.98
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50 Algorithms Every Programmer Should Know
Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
Description
The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world but also to understand how it works. You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them. Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use. You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.
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Sep 2023
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538 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Imran Ahmad
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Tools and Skills for .NET 8
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Tools and Skills for .NET 8
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Jul 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (12)
Paperback 778 pages
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Get the career you want with good practices and patterns to design, debug, and test your solutions 
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  • 9781837633685 eBook €19.99
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Tools and Skills for .NET 8
Get the career you want with good practices and patterns to design, debug, and test your solutions 
Description
Unlock the full potential of .NET development with Tools and Skills for .NET 8. Dive into source code management using Git and learn how to navigate projects while ensuring version control. Discover advanced debugging techniques and troubleshooting strategies to identify and resolve issues, and gain practical insights on documenting your code, APIs, and services, fostering project clarity and maintainability. Delve into the world of cryptography, ensuring confidentiality and integrity throughout your development lifecycle. Elevate your skills as you explore cutting-edge topics such as building intelligent apps using custom LLM-based chat services, mastering dependency injection, optimizing performance through testing, and Docker containerization. Harness the power of cloud-native development with .NET Aspire, unlocking the benefits of modern cloud platforms. With guidance on software architecture best practices, this book empowers you to build robust, scalable and maintainable applications. Advance your career with invaluable insights on job readiness and interview preparation, positioning yourself as a top-tier candidate in today's competitive job market. Whether you're a seasoned .NET professional or an aspiring developer looking to enhance your skills, this book is your ultimate companion on the journey to .NET mastery.
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Jul 2024 778 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Author Mark J. Price
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Large Language Models An Introduction
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Large Language Models An Introduction
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Oct 2024
EBook 503 pages
Understanding the Fundamentals and Applications of Generative AI
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Large Language Models An Introduction
Understanding the Fundamentals and Applications of Generative AI
Description
This book provides a comprehensive overview of large language models (LLMs) and generative AI, covering foundational principles, advanced concepts, and practical applications. It begins with an introduction to the generative AI landscape, examining key features, popular techniques, and its influence on industries like art, business, and technology. The book also explores prominent models like ChatGPT and GPT-4, detailing their architectures, capabilities, and applications in text generation, code assistance, and conversational AI. Additionally, the book traces the evolution of LLMs, particularly focusing on the BERT family and its wide-ranging applications in natural language processing, translation, and multilingual tasks. Readers will also gain expertise in prompt engineering, learning practical tips and examples to interact more effectively with LLMs. In later chapters, the book tackles advanced topics such as fine-tuning LLMs, working with SVG, and concepts like few-shot learning and reinforcement learning. It concludes with discussions on ethical issues, biases in generative AI, and emerging trends like AI’s integration with IoT, quantum computing, and neuromorphic computing. This guide equips professionals and enthusiasts with a thorough understanding of generative AI's present and future.
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Oct 2024 503 pages
AI Assistant AI Assistant
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Author Mercury Learning and Information
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Adversarial AI Attacks, Mitigations, and Defense Strategies
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Adversarial AI Attacks, Mitigations, and Defense Strategies
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Jul 2024
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Paperback 586 pages
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A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps
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Adversarial AI Attacks, Mitigations, and Defense Strategies
A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps
Description
Adversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips cybersecurity professionals with the skills to secure AI technologies, moving beyond research hype or business-as-usual strategies. The strategy-based book is a comprehensive guide to AI security, presenting a structured approach with practical examples to identify and counter adversarial attacks. This book goes beyond a random selection of threats and consolidates recent research and industry standards, incorporating taxonomies from MITRE, NIST, and OWASP. Next, a dedicated section introduces a secure-by-design AI strategy with threat modeling to demonstrate risk-based defenses and strategies, focusing on integrating MLSecOps and LLMOps into security systems. To gain deeper insights, you’ll cover examples of incorporating CI, MLOps, and security controls, including open-access LLMs and ML SBOMs. Based on the classic NIST pillars, the book provides a blueprint for maturing enterprise AI security, discussing the role of AI security in safety and ethics as part of Trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI systems effectively.
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Jul 2024 586 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Author John Sotiropoulos
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Transformers for Natural Language Processing and Computer Vision
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Transformers for Natural Language Processing and Computer Vision
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Feb 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2 (37)
Paperback 730 pages
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Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3
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  • 9781805123743 eBook €22.99
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Transformers for Natural Language Processing and Computer Vision
Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3
Description
Transformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.
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Feb 2024
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730 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Denis Rothman
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