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Modern Generative AI with ChatGPT and OpenAI Models
Modern Generative AI with ChatGPT and OpenAI Models

Modern Generative AI with ChatGPT and OpenAI Models: 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

Introduction to Generative AI

Hello! Welcome to Modern Generative AI with ChatGPT and OpenAI Models! In this book, we will explore the fascinating world of generative Artificial Intelligence (AI) and its groundbreaking applications. Generative AI has transformed the way we interact with machines, enabling computers to create, predict, and learn without explicit human instruction. With ChatGPT and OpenAI, we have witnessed unprecedented advances in natural language processing, image and video synthesis, and many other fields. Whether you are a curious beginner or an experienced practitioner, this guide will equip you with the knowledge and skills to navigate the exciting landscape of generative AI. So, let’s dive in and start with some definitions of the context we are moving in.

This chapter provides an overview of the field of generative AI, which consists of creating new and unique data or content using machine learning (ML) algorithms.

It focuses on the applications of generative AI to various fields, such as image synthesis, text generation, and music composition, highlighting the potential of generative AI to revolutionize various industries. This introduction to generative AI will provide context for where this technology lives, as well as the knowledge to collocate it within the wide world of AI, ML, and Deep Learning (DL). Then, we will dwell on the main areas of applications of generative AI with concrete examples and recent developments so that you can get familiar with the impact it may have on businesses and society in general.

Also, being aware of the research journey toward the current state of the art of generative AI will give you a better understanding of the foundations of recent developments and state-of-the-art models.

All this, we will cover with the following topics:

  • Understanding generative AI
  • Exploring the domains of generative AI
  • The history and current status of research on generative AI

By the end of this chapter, you will be familiar with the exciting world of generative AI, its applications, the research history behind it, and the current developments, which could have – and are currently having – a disruptive impact on businesses.

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Key benefits

  • Explore the theory behind generative AI models and the road to GPT3 and GPT4
  • Become familiar with ChatGPT’s applications to boost everyday productivity
  • Learn to embed OpenAI models into applications using lightweight frameworks like LangChain

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.

Who is this book for?

This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models. A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.

What you will learn

  • Understand generative AI concepts from basic to intermediate level
  • Focus on the GPT architecture for generative AI models
  • Maximize ChatGPT's value with an effective prompt design
  • Explore applications and use cases of ChatGPT
  • Use OpenAI models and features via API calls
  • Build and deploy generative AI systems with Python
  • Leverage Azure infrastructure for enterprise-level use cases
  • Ensure responsible AI and ethics in generative AI systems

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 26, 2023
Length: 286 pages
Edition : 1st
Language : English
ISBN-13 : 9781805122838
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Product Details

Publication date : May 26, 2023
Length: 286 pages
Edition : 1st
Language : English
ISBN-13 : 9781805122838
Category :
Concepts :

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Table of Contents

16 Chapters
Part 1: Fundamentals of Generative AI and GPT Models Chevron down icon Chevron up icon
Chapter 1: Introduction to Generative AI Chevron down icon Chevron up icon
Chapter 2: OpenAI and ChatGPT – Beyond the Market Hype Chevron down icon Chevron up icon
Part 2: ChatGPT in Action Chevron down icon Chevron up icon
Chapter 3: Getting Familiar with ChatGPT Chevron down icon Chevron up icon
Chapter 4: Understanding Prompt Design Chevron down icon Chevron up icon
Chapter 5: Boosting Day-to-Day Productivity with ChatGPT Chevron down icon Chevron up icon
Chapter 6: Developing the Future with ChatGPT Chevron down icon Chevron up icon
Chapter 7: Mastering Marketing with ChatGPT Chevron down icon Chevron up icon
Chapter 8: Research Reinvented with ChatGPT Chevron down icon Chevron up icon
Part 3: OpenAI for Enterprises Chevron down icon Chevron up icon
Chapter 9: OpenAI and ChatGPT for Enterprises – Introducing Azure OpenAI Chevron down icon Chevron up icon
Chapter 10: Trending Use Cases for Enterprises Chevron down icon Chevron up icon
Chapter 11: Epilogue and Final Thoughts Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Full star icon Full star icon Full star icon Full star icon Half star icon 4.2
(35 Ratings)
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4 star 28.6%
3 star 8.6%
2 star 0%
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Kam F Siu Jan 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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Forrest Lu Jan 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
1. Quick email replies are the primary reason. 2. AI is the first study course that I want. 3. Packt customer service is the best I have met; well done. 4. I hope Packt can keep customer service like they did. 5. I wish Taiwan customer service could learn Packt as they do.
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Izzy Dec 24, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Good read. I picked up some ideas I can immediately use.
Subscriber review Packt
Imre Beke Feb 06, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Nagyon érdekel az AI, munkámban sokszor használtam már az előző évben is. Már sikerült az Openai store-ba két saját GPT-t feltenni. Az első mérési adatok kiértékelésére irányul, a második differenciálegyenletek numerikus megoldását segíti.
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Iván Noboa Jan 21, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Muy interesante y amplio.
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