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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

Providing support for the design and framework of your experiment

Experiment design is the process of planning and executing a scientific experiment or study to answer a research question. It involves making decisions about the study’s design, the variables to be measured, the sample size, and the procedures for collecting and analyzing data.

ChatGPT can help in experiment design for research by suggesting to you the study framework, such as a randomized controlled trial, quasi-experimental design, or a correlational study, and supporting you alongside the implementation of that design.

Let’s consider the following scenario. We want to investigate the effects of a new educational program on student learning outcomes in mathematics. This new program entails project-based learning (PBL), meaning that students are asked to work collaboratively on real-world projects, using math concepts and skills to solve problems and create solutions.

For this purpose, we...

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