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Transforming conversational AI = exploring the power of large language models in interactive conversational agents /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Transforming conversational AI/ by Michael McTear, Marina Ashurkina.
Reminder of title:	exploring the power of large language models in interactive conversational agents /
Author:	McTear, Michael.
other author:	Ashurkina, Marina.
Published:	Berkeley, CA :Apress : : 2024.,
Description:	xiii, 228 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/979-8-8688-0110-5
ISBN:	9798868801105

Transforming conversational AI = exploring the power of large language models in interactive conversational agents /
McTear, Michael.

Transforming conversational AIexploring the power of large language models in interactive conversational agents /[electronic resource] :by Michael McTear, Marina Ashurkina. - Berkeley, CA :Apress :2024. - xiii, 228 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9798868801105

Standard No.: 10.1007/979-8-8688-0110-5doiSubjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Transforming conversational AI = exploring the power of large language models in interactive conversational agents /
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245 1 0 $a Transforming conversational AI $h [electronic resource] : $b exploring the power of large language models in interactive conversational agents / $c by Michael McTear, Marina Ashurkina.
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505 0 $a 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.
520 $a 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.
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