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ChatGPT for Conversational AI and Chatbots

ChatGPT for Conversational AI and Chatbots

By : Adrian Thompson
5 (3)
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ChatGPT for Conversational AI and Chatbots

ChatGPT for Conversational AI and Chatbots

5 (3)
By: Adrian Thompson
Buy this Book

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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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Download the example code files
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Conventions used
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Get in touch
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Share Your Thoughts
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1
Part 1: Foundations of Conversational AI
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Part 1: Foundations of Conversational AI
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Chapter 1: An Introduction to Chatbots, Conversational AI, and ChatGPT
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Chapter 1: An Introduction to Chatbots, Conversational AI, and ChatGPT
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What are chatbots and conversational AI?
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Evolution of chatbots and conversational AI
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Understanding conversational AI applications
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What is OpenAI’s ChatGPT?
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Capabilities and applications of ChatGPT
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Limitations of ChatGPT
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Summary
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Further reading
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Chapter 2: Using ChatGPT with Conversation Design
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Chapter 2: Using ChatGPT with Conversation Design
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Technical requirements
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Understanding conversation design
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Working with practical applications of ChatGPT in conversation design
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Persona creation with ChatGPT
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Simulating conversations
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Testing and iteration in conversation design with ChatGPT
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Summary
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Further reading
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Part 2: Using ChatGPT, Prompt Engineering, and Exploring LangChain
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Part 2: Using ChatGPT, Prompt Engineering, and Exploring LangChain
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Chapter 3: ChatGPT Mastery – Unlocking Its Full Potential
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Chapter 3: ChatGPT Mastery – Unlocking Its Full Potential
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Technical requirements
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Mastering the ChatGPT interface
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Exploring OpenAI Playground
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Learning to use the ChatGPT API
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Summary
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Further reading
6
Chapter 4: Prompt Engineering with ChatGPT
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Chapter 4: Prompt Engineering with ChatGPT
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Technical requirements
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Going through the concepts of prompt engineering
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Understanding the core components of a successful prompt
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Working with a prompt engineering strategy
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Knowing the prompt engineering techniques
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Summary
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Further reading
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Chapter 5: Getting Started with LangChain
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Chapter 5: Getting Started with LangChain
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Technical requirements
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Introduction to LangChain
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Core components of LangChain
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Understanding LangChain Expression Language
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Creating different LangChain chains
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Summary
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Further reading
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Chapter 6: Advanced Debugging, Monitoring, and Retrieval with LangChain
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Chapter 6: Advanced Debugging, Monitoring, and Retrieval with LangChain
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Technical requirements
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Debugging and monitoring LangChain
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Leveraging LangChain agents
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Exploring LangChain memory
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Summary
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Further reading
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Part 3: Building and Enhancing ChatGPT-Powered Applications
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Part 3: Building and Enhancing ChatGPT-Powered Applications
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Chapter 7: Vector Stores as Knowledge Bases for Retrieval-augmented Generation
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Chapter 7: Vector Stores as Knowledge Bases for Retrieval-augmented Generation
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Technical requirements
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Why do we need RAG?
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Understanding the steps needed to create a RAG system
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Working through a RAG example with LangChain
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Summary
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Further reading
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Chapter 8: Creating Your Own LangChain Chatbot Example
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Chapter 8: Creating Your Own LangChain Chatbot Example
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Technical requirements
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Scoping our ChatGPT project
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Getting our data ready for the chatbot
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Creating our agent for complex interactions
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Bringing it all together – building Your own LangChain Chatbot with Streamlit
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Summary
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Further reading
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Chapter 9: The Future of Conversational AI with LLMs
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Chapter 9: The Future of Conversational AI with LLMs
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Technical requirements
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Going into production
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Evaluating production systems
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Learning how to use LangSmith to evaluate your project
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Advanced monitoring features with LangSmith
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Alternatives to ChatGPT and LangChain
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The growth of the small language model (SLM)
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Where to go from here
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Summary
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Further reading
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Index
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Index
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Why subscribe?
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Other Books You May Enjoy
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Other Books You May Enjoy
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Packt is searching for authors like you
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Download a free PDF copy of this book

Who this book is for

This book is designed for individuals who are eager to harness the power of ChatGPT and other advanced language models in their conversational AI projects. The primary audiences are as follows:

  • Conversational AI professionals: From conversation designers to customer experience managers and conversational AI leads, anyone involved in working with chatbots, voice assistants, smart IVR systems, and multimodel customer support will find practical insights into leveraging ChatGPT to create more engaging and natural interactions
  • Developers and conversational AI engineers: Those with a technical background looking to transition from conventional NLU systems to LLM-powered applications will benefit from detailed guidance on integration, deployment, and overcoming common challenges
  • Product owners: Leaders overseeing the development of AI-driven products will gain a comprehensive understanding of the latest technologies, tools, and best practices necessary to bring innovative conversational solutions to market
  • AI enthusiasts and researchers: Individuals passionate about the advancements in AI will appreciate the in-depth exploration of ChatGPT, prompt engineering, LangChain, and other innovative technologies that are shaping the future of conversational AI

Whether you are looking to improve existing chatbot applications, start new AI projects, or stay ahead of industry trends, this book provides the knowledge and tools to help you succeed.

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