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ChatGPT for Conversational AI and Chatbots

You're reading from   ChatGPT for Conversational AI and Chatbots Learn how to automate conversations with the latest large language model technologies

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781805129530
Length 250 pages
Edition 1st Edition
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Author (1):
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Adrian Thompson Adrian Thompson
Author Profile Icon Adrian Thompson
Adrian Thompson
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Foundations of Conversational AI FREE CHAPTER
2. Chapter 1: An Introduction to Chatbots, Conversational AI, and ChatGPT 3. Chapter 2: Using ChatGPT with Conversation Design 4. Part 2: Using ChatGPT, Prompt Engineering, and Exploring LangChain
5. Chapter 3: ChatGPT Mastery – Unlocking Its Full Potential 6. Chapter 4: Prompt Engineering with ChatGPT 7. Chapter 5: Getting Started with LangChain 8. Chapter 6: Advanced Debugging, Monitoring, and Retrieval with LangChain 9. Part 3: Building and Enhancing ChatGPT-Powered Applications
10. Chapter 7: Vector Stores as Knowledge Bases for Retrieval-augmented Generation 11. Chapter 8: Creating Your Own LangChain Chatbot Example 12. Chapter 9: The Future of Conversational AI with LLMs 13. Index 14. Other Books You May Enjoy

Technical requirements

In this chapter, we will use ChatGPT extensively, so you will need to be signed up with a free account. If you haven’t created an account, go to https://openai.com/ and click Get Started at the top right of the page, or go to https://chat.openai.com.

The examples require Python 3.9 and a Jupyter notebook to be installed: https://jupyter.org/try-jupyter/notebooks/?path=notebooks/Intro.ipynb.

We will use Chroma DB as our open source vector database, so it’s advisable to take a look and familiarize yourself with Chroma (https://www.trychroma.com) although there are a lot of other different options for Vector stores providers.

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