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ChatGPT for conversational AI and Chatbots : learn how to automate conversation with the latest large language model technologies /
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Thompson, Adrian, author. |
| 서명/저자사항 | ChatGPT for conversational AI and Chatbots :learn how to automate conversation with the latest large language model technologies /Adrian Thompson. |
| 발행사항 | Birmingham, UK : Packt Publishing Ltd., 2024. |
| 형태사항 | 1 online resource |
| 소장본 주기 | Added to collection customer.56279.3 |
| ISBN | 1805122355 9781805122357 |
| 내용주기 | Cover -- Title Page -- Copyright and credits -- Contributors -- Table of Contents -- Preface -- Part 1: Foundations of Conversational AI -- Chapter 1: An Introduction to Chatbots, Conversational AI, and ChatGPT -- What are chatbots and conversational AI? -- A brief history of conversational AI -- An overview of chatbots and automated assistants -- Evolution of chatbots and conversational AI -- Understanding conversational AI applications -- Customer service -- Language translation -- Education -- Healthcare -- Banking and insurance -- Retail -- Human resources Conversational AI as a training tool -- the emergence of digital humans -- Conclusion -- What is OpenAI's ChatGPT? -- Understanding the large language technology behind ChatGPT -- The role of tokens in LMs -- Understanding OpenAI's LMs -- Conclusion -- Capabilities and applications of ChatGPT -- Capabilities of ChatGPT -- How smart is ChatGPT? -- Applications of ChatGPT -- Limitations of ChatGPT -- Limitations -- Risks and security -- Summary -- Further reading -- Chapter 2: Using ChatGPT with Conversation Design -- Technical requirements -- Understanding conversation design Exploring the role of conversation designers -- Working with practical applications of ChatGPT in conversation design -- Intent clustering with ChatGPT -- Understanding utterance and entity generation -- Using ChatGPT to help write your dialogue -- Persona creation with ChatGPT -- Using ChatGPT for user research -- Creating our user and chatbot personas -- Simulating conversations -- What is a sample dialogue? -- Creating sample dialogue -- Creating sample dialogue with personas -- Testing and iteration in conversation design with ChatGPT -- Testing with ChatGPT -- Summary -- Further reading Part 2: Using ChatGPT, Prompt Engineering, and Exploring LangChain -- Chapter 3: ChatGPT Mastery -- Unlocking Its Full Potential -- Technical requirements -- Mastering the ChatGPT interface -- The Free and Plus versions of ChatGPT -- ChatGPT interface -- GPTs -- Exploring OpenAI Playground -- Getting started -- UI features -- Pricing for API and Playground -- Learning to use the ChatGPT API -- Getting started -- Calling the API directly -- Setting up with the OpenAI Python library -- Setting up with the OpenAI Node.js library -- Other ChatGPT libraries -- Summary -- Further reading Chapter 4: Prompt Engineering with ChatGPT -- Technical requirements -- Going through the concepts of prompt engineering -- Understanding the core components of a successful prompt -- Instruction -- Context -- Scope -- Role -- Audience -- Input data -- Output data -- Conclusion -- Working with a prompt engineering strategy -- Define clear goals -- Employ iterative prompt development -- Start simple -- Use follow-up prompts to test against multiple examples -- Use temperature when you need to -- Handling memory limitations in ChatGPT -- Conclusion -- Knowing the prompt engineering techniques |
| 요약 | 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. |
| 주제명(통일서명) | ChatGPT. |
| 일반주제명 | Natural language generation (Computer science) -- Computer programs. Neural networks (Computer science) Artificial intelligence. artificial intelligence. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:18051295389781805129530 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3971283 |
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