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Transforming Conversational AI Exploring the Power of Large Language Models in Interactive Conversational Agents

Title
Transforming Conversational AI [electronic resource] : Exploring the Power of Large Language Models in Interactive Conversational Agents / by Michael McTear, Marina Ashurkina.
ISBN
9798868801105
Edition
1st ed. 2024.
Publication
Berkeley, CA : Apress : Imprint: Apress, 2024.
Physical Description
1 online resource (XV, 228 p.) 106 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
Acquire the knowledge needed to work effectively in conversational artificial intelligence (AI) and understand the opportunities and threats it can potentially bring. This book will help you navigate from the traditional world of dialogue systems that revolve around hard coded scripts, to the world of large language models, prompt engineering, conversational AI platforms, multi-modality, and ultimately autonomous agents. In this new world, decisions are made by a system that may forever remain a 'black box' for most of us. This book aims to eliminate unnecessary noise and describe the fundamental components of conversational AI. Past experiences will prove invaluable in constructing seamless hybrid systems. This book will provide the most recommended solutions, recognizing that it is not always necessary to blindly pursue new tools. Written in unprecedented and turbulent times for conversational interfaces you'll see that despite previous waves of advancement in conversational technology, now conversational interfaces are gaining unparalleled popularity. Specifically, the release of ChatGPT in November 2022 by Open AI revolutionized the conversational paradigm and showed how easy and intuitive communication with a computer can be. Old professions are being disrupted, new professions are emerging, and even the most conservative corporations are changing their strategy and experimenting with large language models, allocating an unprecedented amount of budget to these projects. No one knows for sure the exact future of conversational AI, but everyone agrees that it's here to stay. You will: See how large language models are constructed and used in conversational systems Review the risks and challenges of new technologies in conversational AI Examine techniques for prompt engineering Enable practitioners to keep abreast of recent developments in conversational AI.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
March 01, 2024
Contents
Chapter 1: A new era in Conversational AI
Chapter 2: Designing conversational systems
Chapter 3: The Rise of Neural Conversational Systems
Chapter 4: Large Language Models
Chapter 5: Introduction to Prompt Engineering
Chapter 6: Advanced Prompt Engineering
Chapter 7: Conversational AI Platforms
Chapter 8: Evaluation Metrics
Chapter 9: AI Safety and Ethics
Chapter 10: Final Words.
Also listed under
Ashurkina, Marina. author.
SpringerLink (Online service)
Citation

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