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Large language model-based solutions...

Subramanian, Shreyas.

Large language model-based solutions :how to deliver value with cost-effective generative AI applications /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	Large language model-based solutions :/ Shreyas Subramanian.
其他題名:	how to deliver value with cost-effective generative AI applications /
其他題名:	Large language model-based solutions :
作者:	Subramanian, Shreyas.
出版者:	Hoboken, NJ :John Wiley & Sons, Inc.,c2024.
面頁冊數:	xxv, 190 p. :ill. ;24 cm.
附註:	"Tech today"--Cover.
標題:	Natural language generation (Computer science) -
ISBN:	9781394240722
ISBN:	1394240724
ISBN:	9781394240746
ISBN:	9781394240739

Large language model-based solutions :how to deliver value with cost-effective generative AI applications /
Subramanian, Shreyas.

Large language model-based solutions :how to deliver value with cost-effective generative AI applications /Large language model-based solutions :how to deliver value with cost-effective generative artificial intelligence applicationsShreyas Subramanian. - Hoboken, NJ :John Wiley & Sons, Inc.,c2024. - xxv, 190 p. :ill. ;24 cm.

"Tech today"--Cover.

Introduction -- Tuning techniques for cost optimization -- Inference techniques for cost optimization -- Model selection and alternatives -- Infrastructure and deployment tuning strategies.

"With the rise of AI and machine learning, large language models (LLMs) have become increasingly popular, but their high computational costs can be a barrier to entry for many organizations. This book offers cost-effective approaches to building and deploying LLMs. At each stage of the process, from model selection and prompt engineering to fine tuning and deployment, you can minimize costs without unduly sacrificing performance. Writtern for developers and data scientists, Large Language Model-Based Solutions provides the practical, technical knowledge needed to implement valuable generate AI applications like search systems, agent assists, and autonomous agents. The book explores techniques for optimizing inference, such as model quantization and pruning, as well as opportunities for reducing costs at the infrastructure level. It also considers future trends in LLM cost optimization, so you can remain competetive for the next stage in generative AI."--Back cover.

ISBN: 9781394240722NT1396Subjects--Topical Terms:

1000128655
Natural language generation (Computer science)

LC Class. No.: QA76.9.N38 / S83 2024

Dewey Class. No.: 006.35

Large language model-based solutions :how to deliver value with cost-effective generative AI applications /
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