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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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1
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

To get the most out of this book

Familiarity with the fundamental concepts of chatbots and conversational AI will be beneficial, though not essential. Some expertise in coding, particularly in Python, is recommended to follow the examples and exercises effectively. A working Python environment running Python 3.10 is required. We suggest using Anaconda to set this up, with Jupyter Notebook installed, as all chapter examples use Jupyter Notebook.

Software/hardware covered in the book

Operating system requirements

Python 3.10

Cross-platform

LangChain

Cross-platform

A free OpenAI account is required so you can get an OpenAI API key for accessing ChatGPT and other related services: https://openai.com/

A LangSmith account is required so you can create an API key for monitoring and testing your LangChain applications: https://smith.langchain.com

By ensuring you meet these prerequisites, you’ll be well prepared to dive into the practical applications covered in this book.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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