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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

Understanding the core components of a successful prompt

There is no catch-all for a successful prompt. Each task you want to carry out is different and so are the prompts needed to achieve them. However, there are some rules to follow to get the best results due to the way the models have been trained and the data that has been used to train them. In Chapter 2, we looked at ChatGPT to help with conversation design tasks. This involved providing detailed prompts, including some key components of a successful prompt. Yes, you’ve already done some extensive prompt engineering and used some of the following core prompt components outlined in the following list:

  • Instruction: Specifies the action to be taken, usually initiated by entering a verb such as design or write
  • Context: Provides additional information to guide the model, such as the environment or purpose
  • Scope: Narrows down the focus of the task, specifying the types of inquiries or topics to be covered
  • ...

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