國立虎尾科技大學 |

Generative aI for enterprises = essential insights for decision makers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Generative aI for enterprises / Vishal Anand.
其他題名:	essential insights for decision makers /
作者:	Anand, Vishal.
面頁冊數:	1 online resource (237 pages)
標題:	COMPUTERS / Artificial Intelligence / General. -
電子資源:	https://portal.igpublish.com/iglibrary/search/BPB0000645.html
ISBN:	9789355516978

Generative aI for enterprises = essential insights for decision makers /
Anand, Vishal.

Generative aI for enterprises essential insights for decision makers /[electronic resource] ：Vishal Anand. - 1 online resource (237 pages)

Includes bibliographical references and index.

Generative aI for enterprises : essential insights for decision makers -- Dedication -- Forewords -- About the Author -- About the Reviewers -- Acknowledgement -- Preface -- Coloured Images -- Table of Contents -- Chapter 1: The Rise of Generative AI in Enterprises -- Chapter 2: Complex Needs of Production -- Chapter 3: Model Selection for Enterprises -- Chapter 4: Model Deployment for Enterprises -- Chapter 5: Operating System for Enterprises -- Chapter 6: Prompt Engineering for Enterprises -- Chapter 7: Fine-tuning for Enterprises -- Chapter 8: Orchestration of Generative AI Workflows -- Chapter 9: Six Ethical Dimensions for Enterprises -- Chapter 10: Designing a Target Operating Model -- Chapter 11: Cost Optimization Strategies -- Chapter 12: Retrievalaugmented Generation for Enterprises -- Chapter 13: Model as a Service for Enterprises -- Chapter 14: Confidential AI -- Chapter 15: Latency in Generative AI Solutions -- Chapter 16: Multi-modal Multi -agentic Assistant Framework for Enterprises -- Index.

Access restricted to authorized users and institutions.

Generative AI can streamline technical and business processes, increase efficiency, and free up your resources’ time to focus on more strategic initiatives. This book takes the readers through a series of steps to deepen their understanding of the forces that shape an organization’s implementation of Generative AI at scale and successfully dealing with them. This book starts with GenAI potential uses, challenges and enterprise deployment strategies. You will learn to scale GenAI models along with LLMOps, choose the right LLM, and use prompt engineering and fine-tuning to customize the outputs. This book introduces a GenAI operating system as well as an orchestration platform for workflow automation. It discusses ethical considerations, designing a target operating model, cost optimization, Retrieval-augmented Generation (RAG), Model as a Service (MaaS), and Confidential AI. Finally, it explores the future of multi-modal AI assistants in enterprises. This book makes it easier for readers to debunk myths, and address fallacies and common misconceptions that could harm organizational investment and reputation. There are also practical and enterprise class scenarios and information that could help in improving implementations, within your organization, enabling you to achieve success beyond scaling challenges.

Mode of access: World Wide Web.

ISBN: 9789355516978Subjects--Topical Terms:

1483828
COMPUTERS / Artificial Intelligence / General.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Generative aI for enterprises = essential insights for decision makers /
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520 3 $a Generative AI can streamline technical and business processes, increase efficiency, and free up your resources’ time to focus on more strategic initiatives. This book takes the readers through a series of steps to deepen their understanding of the forces that shape an organization’s implementation of Generative AI at scale and successfully dealing with them. This book starts with GenAI potential uses, challenges and enterprise deployment strategies. You will learn to scale GenAI models along with LLMOps, choose the right LLM, and use prompt engineering and fine-tuning to customize the outputs. This book introduces a GenAI operating system as well as an orchestration platform for workflow automation. It discusses ethical considerations, designing a target operating model, cost optimization, Retrieval-augmented Generation (RAG), Model as a Service (MaaS), and Confidential AI. Finally, it explores the future of multi-modal AI assistants in enterprises. This book makes it easier for readers to debunk myths, and address fallacies and common misconceptions that could harm organizational investment and reputation. There are also practical and enterprise class scenarios and information that could help in improving implementations, within your organization, enabling you to achieve success beyond scaling challenges.
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