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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

Getting our data ready for the chatbot

To get our data ready, we first need to source and then process it so that it’s in the cleanest state, ready to be used.

Selecting our data sources

For this project, we’re going to need to provide a number of different types of context-specific knowledge to our LLM agent so that we can service the expected question types:

  • Hotel information: This would come from our online travel agent hotel dataset, so we’ll need some hotel data to represent the hotels we want to recommend to our users. The data we’re going to use to provide hotel recommendations is a small subset of the dataset at https://www.kaggle.com/datasets/raj713335/tbo-hotels-dataset. This dataset contains information on 1,000,000+ hotels from different countries and regions, such as their rates, reviews, amenities, location, and star ratings. The data was collected from various sources, such as hotel websites, online travel agencies, and review...
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