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Practical Generative AI with ChatGPT

Practical Generative AI with ChatGPT - Second Edition

By : Valentina Alto
4 (1)
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Practical Generative AI with ChatGPT

Practical Generative AI with ChatGPT

4 (1)
By: Valentina Alto

Overview of this book

Practical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering to analyzing documents and images and even generating code, this book equips you with the skills to integrate generative AI into your workflow. Written by a technical architect specializing in AI and intelligent applications, this book provides the tools and knowledge you need to streamline tasks, enhance productivity, and create intelligent solutions. You’ll learn how to craft precise prompts, leverage ChatGPT for daily efficiency, and develop custom AI assistants tailored to your needs. The chapters show you how to use ChatGPT’s multimodal capabilities to generate images with DALL·E and even transform images into code. This ChatGPT book goes beyond basic interactions by showing you how to design custom GPTs and integrate OpenAI’s APIs into your applications. You’ll explore how businesses use OpenAI models, from building AI applications, including semantic search, to creating an AI roadmap. Each chapter is packed with practical examples, ensuring you can apply the techniques right away. By the end of this book, you’ll be well equipped to leverage OpenAI's technology for competitive advantage.
Table of Contents (18 chapters)
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Lock Free Chapter
1
Fundamentals of Generative AI and OpenAI
4
ChatGPT in Action
12
OpenAI for Enterprises
15
Other Books You May Enjoy
16
Index

An overview of OpenAI Playground

Today, OpenAI offers a set of pre-trained, ready-to-use models that can be consumed by the general public. This has two important implications:

  • Powerful foundation models can be consumed without the need for long and expensive training
  • It’s not necessary to be a data scientist or an ML engineer to manipulate those models

Users can test OpenAI models in two ways:

  • OpenAI Playground, a friendly user interface where you can interact with models without the need to write any code.
  • Via REST API with a pro-code approach. In fact, all OpenAI models – and, generally speaking, LLMs – comes as pre-built components that can be consumed by applications via endpoints and keys.

In this chapter, we will explore the first approach, while we will see how to incorporate OpenAI models’ APIs in Chapter 11.

Before jumping into the Playground, let’s first have an overview of OpenAI’s models families.

OpenAI Models Families

Over...

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