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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
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Index

A

A/B testing 158

for marketing comparison 158-162

gameplay technique 163, 164

advanced plugins, within GPT store

Canva 231-234

exploring 231

Veed.io 240-244

Wix 235-239

AI agents 20, 21

AI orchestrators 315

Haystack 316

LangChain 315

Semantic Kernel 317-320

AI research and developments 335, 336

Anthropic 332

application modernization 134

Application Programming Interface (API) 304

architectural patterns

AI orchestrators 315

application components 313, 314

building, with OpenAI models APIs 312

Artificial General Intelligence (AGI) 28

artificial intelligence (AI) 1, 2, 329

Semantic Kernel 319

artificial neural network (ANN) 2, 22

Azure OpenAI 320

Azure OpenAI Service (AOAI Service) 321-325

B

base models 344

bias

ethical considerations, avoiding 75-78

bibliography format 196-199

bibliography generation 196-199

C

Canva 231-234

canvas

...
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
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Practical Generative AI with ChatGPT
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