by Adrian Thompson
English | 2024 | ISBN: 1805129538 | 250 pages | True/Retail PDF EPUB | 8.06 MB
Explore ChatGPT technologies to create state-of-the-art chatbots and voice assistants, and prepare to lead the AI revolution
Key Features
Learn how to leverage ChatGPT to create innovative conversational AI solutions for your organization
Harness LangChain and delve into step-by-step LLM application development for conversational AI
Gain insights into security, privacy, and the future landscape of large language models and conversational AI
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
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.
What you will learn
Gain a solid understanding of ChatGPT and its capabilities and limitations
Understand how to use ChatGPT for conversation design
Discover how to use advanced LangChain techniques, such as prompting, memory, agents, chains, vector stores, and tools
Create a ChatGPT chatbot that can answer questions about your own data
Develop a chatbot powered by ChatGPT API
Explore the future of conversational AI, LLMs, and ChatGPT alternatives
Who this book is for
This book is for tech-savvy readers, conversational AI practitioners, engineers, product owners, business analysts, and entrepreneurs wanting to integrate ChatGPT into conversational experiences and explore the possibilities of this game-changing technology. Anyone curious about using internal data with ChatGPT and looking to stay up to date with the developments in large language models will also find this book helpful. Some expertise in coding and standard web design concepts would be useful, along with familiarity with conversational AI terminology, though not essential.
Table of Contents
Introduction to Chatbots, Conversational AI, and ChatGPT
Using ChatGPT with Conversation Design
ChatGPT Mastery – Unlocking Its Full Potential
Prompt Engineering and the ChatGPT API
LangChain – Introduction and Getting Started
Advanced LangChain – LangChain Debugging Techniques, Memory, Agents, and Tools
Retrieval-Augmented Generation – Utilizing Vector Stores as a Knowledge Base
Chatting About Your Data – Creating Your Own ChatGPT Application
The Future of Conversational AI with LLMs
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