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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

Research assistant

In this scenario, we are going to focus on research once more, but this time with a particular focus on paper retrieval. More specifically, we want our assistant to be able to do the following:

  • Retrieve information from the custom knowledge base that we provide.
  • Integrate the custom documents with papers only from arXiv, enabling the web plugin for this task.
  • Retrieve from a database (in our case, it will be hosted in Notion) existing ongoing work from other researchers, so that we don’t risk covering content in an essay that has already been covered by someone else.

Let’s see all the steps:

  1. Upload custom documents. For this purpose, I’ll use two papers about image classification in machine learning: “CIFAKE: image classification and explainable identification of ai-generated synthetic images” by J. Bird et al. and “A Comprehensive Study of Vision Transformers in Image Classification...

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