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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
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4
ChatGPT in Action
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12
OpenAI for Enterprises
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15
Other Books You May Enjoy
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16
Index
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Appendix
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Summary

In this chapter, we explored the exciting world of generative AI and its various domains of application, including image generation, text generation, music generation, and video generation. We learned how generative AI models such as ChatGPT and DALL-E, trained by OpenAI, use DL techniques to learn patterns in large datasets and generate new content that is both novel and coherent. We also discussed the history of generative AI, its origins, and the current status of research on it.

The goal of this chapter was to provide a solid foundation in the basics of generative AI and to inspire you to explore this fascinating field further.

In the next chapter, we will focus on one of the most promising technologies available on the market today, ChatGPT: we will go through the research behind it and its development by OpenAI, the architecture of its model, and the main use cases it can address as of today.

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