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Modern Generative AI with ChatGPT and OpenAI Models

You're reading from Modern Generative AI with ChatGPT and OpenAI Models Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4

Product type Paperback

Published in May 2023

Publisher Packt

ISBN-13 9781805123330

Length 286 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

GPT/LLMs

Author (1):

Valentina Alto

View More author details

Table of Contents (17) Chapters

Preface

1. Part 1: Fundamentals of Generative AI and GPT Models

2. Chapter 1: Introduction to Generative AI FREE CHAPTER

3. Chapter 2: OpenAI and ChatGPT – Beyond the Market Hype

4. Part 2: ChatGPT in Action

5. Chapter 3: Getting Familiar with ChatGPT

6. Chapter 4: Understanding Prompt Design

7. Chapter 5: Boosting Day-to-Day Productivity with ChatGPT

8. Chapter 6: Developing the Future with ChatGPT

9. Chapter 7: Mastering Marketing with ChatGPT

10. Chapter 8: Research Reinvented with ChatGPT

11. Part 3: OpenAI for Enterprises

12. Chapter 9: OpenAI and ChatGPT for Enterprises – Introducing Azure OpenAI

13. Chapter 10: Trending Use Cases for Enterprises

14. Chapter 11: Epilogue and Final Thoughts

15. Index

Why subscribe?

16. Other Books You May Enjoy

Research Reinvented with ChatGPT

In this chapter, we focus on researchers who wish to leverage ChatGPT. The chapter will go through a few main use cases ChatGPT can address, so that you will learn from concrete examples how ChatGPT can be used in research.

By the end of this chapter, you will be familiar with using ChatGPT as a research assistant in many ways, including the following:

Researchers’ need for ChatGPT
Brainstorming literature for your study
Providing support for the design and framework of your experiment
Generating and formatting a bibliography to incorporate in your research study
Delivering a pitch or slide deck presentation about your study addressing diverse audiences

This chapter will also provide examples and enable you to try the prompts on your own.

The rest of the chapter is locked

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Authors (1)

Valentina Alto

Valentina Alto

Valentina Alto is a Data Science Graduate who joined Microsoft Italy in 2020 as an Azure solution specialist. Since 2022, she has been focusing on data and AI workloads within the manufacturing and pharmaceutical industries. She has been working closely with system integrators on customer projects to deploy cloud architecture with a focus on Modern Data Platforms and AI-powered applications. In June 2024, she moved to Microsoft Dubai as an AI App Tech Architect to focus more on AI-driven projects in the Middle East. Since commencing her academic journey, she has been writing tech articles on statistics, machine learning, deep learning, and AI in various publications. She has authored several books on machine learning and large language models.

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