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Practical Generative AI with ChatGPT

Practical Generative AI with ChatGPT

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

Unlock ChatGPT's potential to make your working life better with this comprehensive guide. This book is about getting the most out of ChatGPT by creating AI assistants, learning prompt engineering, analyzing documents and images, and kickstarting your journey into generative AI. Whether you’re looking to free up your time, improve the way you work, or are eager to harness the power of AI, this book provides the tools and knowledge you need. Learn to craft precise prompts, utilize ChatGPT for daily productivity, and develop custom AI assistants. Go further by creating images with DALL-E. You’ll even see how to generate code from an image using GPT-4V. Harnessing ChatGPT’s capabilities doesn’t stop there. This ChatGPT book shows you how to design personalized custom GPTs and incorporate OpenAI model APIs into your applications. Explore how businesses use OpenAI models, from building AI applications, such as semantic search, to creating an AI roadmap. Each chapter is packed with practical examples, ensuring you can apply the techniques immediately. Enhance your marketing strategies, streamline research processes, and leverage AI for enterprise-scale applications. This book is your ultimate resource for maximizing productivity, creativity, and efficiency with ChatGPT.
Table of Contents (18 chapters)
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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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