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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
Tools
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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

Scoping our ChatGPT project

Everyone likes a holiday, and helping travelers with smart conversational automations is an area I’m very passionate about, so for our use case, we are going to create our own ChatGPT-powered travel assistant.

At this point, we must be realistic with scope; an online travel agent could potentially do thousands of different tasks with varying levels of complexity, but let’s choose a handful of specific use cases that are not only interesting to implement but also bring together the techniques we’ve covered so far in the book.

A holiday assistant use case

You work for an online travel agent, and you’ve been tasked with creating an LLM-powered holiday assistant designed to revolutionize the way travelers choose their accommodations. Online travel agents tend to be limited in their accommodation searches, so your challenge is to provide a more personalized granular search. Drawing on a dataset of hotels, complete with descriptions...

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