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Large Language Models  An Introduction
Large Language Models  An Introduction

Large Language Models An Introduction: Understanding the Fundamentals and Applications of Generative AI

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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€40.99
eBook Oct 2024 503 pages 1st Edition
eBook
€40.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
€40.99
eBook Oct 2024 503 pages 1st Edition
eBook
€40.99
eBook
€40.99

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Key benefits

  • Comprehensive coverage of generative AI and large language models (LLMs).
  • Detailed examination of prompt engineering and fine-tuning techniques.
  • Insights into the impact of AI on society and ethical considerations.

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.

Who is this book for?

The ideal audience includes AI enthusiasts, data scientists, machine learning practitioners, and technology professionals looking to deepen their understanding of generative AI and LLMs. Readers should have a foundational knowledge of AI and machine learning concepts.

What you will learn

  • Explore the basics of generative AI.
  • Learn about ChatGPT and GPT-4, including their uses.
  • Understand techniques for prompt engineering.
  • Navigate the architectures and training processes of large language models (LLMs).
  • Examine various fine-tuning methods.
  • Discover the impact of AI on employment and job roles.

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 07, 2024
Length: 503 pages
Edition : 1st
Language : English
ISBN-13 : 9781836647362
Category :
Concepts :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Publication date : Oct 07, 2024
Length: 503 pages
Edition : 1st
Language : English
ISBN-13 : 9781836647362
Category :
Concepts :

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Table of Contents

9 Chapters
Chapter 1: The Generative AI Landscape Chevron down icon Chevron up icon
Chapter 2: ChatGPT and GPT-4 Chevron down icon Chevron up icon
Chapter 3: LLMs and the BERT Family Chevron down icon Chevron up icon
Chapter 4: Prompt Engineering Chevron down icon Chevron up icon
Chapter 5: Working with LLMs Chevron down icon Chevron up icon
Chapter 6: LLMs and Fine-Tuning Chevron down icon Chevron up icon
Chapter 7: SVG and GPT-4 Chevron down icon Chevron up icon
Chapter 8: Miscellaneous Topics Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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