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Modern Generative AI with ChatGPT and OpenAI Models

You're reading from Modern Generative AI with ChatGPT and OpenAI Models Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4

Product type Paperback

Published in May 2023

Publisher Packt

ISBN-13 9781805123330

Length 286 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

GPT/LLMs

Author (1):

Valentina Alto

View More author details

Table of Contents (17) Chapters

Preface

1. Part 1: Fundamentals of Generative AI and GPT Models

2. Chapter 1: Introduction to Generative AI FREE CHAPTER

3. Chapter 2: OpenAI and ChatGPT – Beyond the Market Hype

4. Part 2: ChatGPT in Action

5. Chapter 3: Getting Familiar with ChatGPT

6. Chapter 4: Understanding Prompt Design

7. Chapter 5: Boosting Day-to-Day Productivity with ChatGPT

8. Chapter 6: Developing the Future with ChatGPT

9. Chapter 7: Mastering Marketing with ChatGPT

10. Chapter 8: Research Reinvented with ChatGPT

11. Part 3: OpenAI for Enterprises

12. Chapter 9: OpenAI and ChatGPT for Enterprises – Introducing Azure OpenAI

13. Chapter 10: Trending Use Cases for Enterprises

14. Chapter 11: Epilogue and Final Thoughts

15. Index

Why subscribe?

16. Other Books You May Enjoy

OpenAI and ChatGPT – Beyond the Market Hype

This chapter provides an overview of OpenAI and its most notable development—ChatGPT, highlighting its history, technology, and capabilities.

The overall goal is to provide a deeper knowledge of how ChatGPT can be used in various industries and applications to improve communication and automate processes and, finally, how those applications can impact the world of technology and beyond.

We will cover all this with the following topics:

What is OpenAI?
Overview of OpenAI model families
Road to ChatGPT: the math of the model behind it
ChatGPT: the state of the art

The rest of the chapter is locked

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Authors (1)

Valentina Alto

Valentina Alto

Valentina Alto is a Data Science Graduate who joined Microsoft Italy in 2020 as an Azure solution specialist. Since 2022, she has been focusing on data and AI workloads within the manufacturing and pharmaceutical industries. She has been working closely with system integrators on customer projects to deploy cloud architecture with a focus on Modern Data Platforms and AI-powered applications. In June 2024, she moved to Microsoft Dubai as an AI App Tech Architect to focus more on AI-driven projects in the Middle East. Since commencing her academic journey, she has been writing tech articles on statistics, machine learning, deep learning, and AI in various publications. She has authored several books on machine learning and large language models.

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