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ChatGPT for Conversational AI and Chatbots

ChatGPT for Conversational AI and Chatbots

By : Adrian Thompson
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ChatGPT for Conversational AI and Chatbots

ChatGPT for Conversational AI and Chatbots

5 (3)
By: Adrian Thompson

Overview of this book

ChatGPT for Conversational AI and Chatbots is a definitive resource for exploring conversational AI, ChatGPT, and large language models. This book introduces the fundamentals of ChatGPT and conversational AI automation. You’ll explore the application of ChatGPT in conversation design, the use of ChatGPT as a tool to create conversational experiences, and a range of other practical applications. As you progress, you’ll delve into LangChain, a dynamic framework for LLMs, covering topics such as prompt engineering, chatbot memory, using vector stores, and validating responses. Additionally, you’ll learn about creating and using LLM-enabling tools, monitoring and fine tuning, LangChain UI tools such as LangFlow, and the LangChain ecosystem. You’ll also cover popular use cases, such as using ChatGPT in conjunction with your own data. Later, the book focuses on creating a ChatGPT-powered chatbot that can comprehend and respond to queries directly from your unique data sources. The book then guides you through building chatbot UIs with ChatGPT API and some of the tools and best practices available. By the end of this book, you’ll be able to confidently leverage ChatGPT technologies to build conversational AI solutions.
Table of Contents (15 chapters)
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Part 1: Foundations of Conversational AI
4
Part 2: Using ChatGPT, Prompt Engineering, and Exploring LangChain
9
Part 3: Building and Enhancing ChatGPT-Powered Applications

Summary

In this chapter, we focused on how ChatGPT can be used in conversation design. We explored the multifaceted role of the conversation designer and looked at some of the many tasks that make up the conversation design process in more detail. We learned that some of these tasks can be tackled with the help of ChatGPT.

We delved into the practical tasks involved, such as understanding user needs, designing personas, creating conversation flows, and writing dialogue.

We also learned that it’s important to understand that ChatGPT is not a replacement for good conversation design practices, but that it is an incredibly powerful tool.

At the heart of our use of ChatGPT as a conversation design assistant is the effective implementation of prompt engineering. We started to look at the principles involved with prompt engineering. In Chapter 4, we’ll look at prompt engineering in more detail to gain a deeper understanding of this emerging field. In the next chapter...

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