Description: Large Language Model-based Solutions : How to Deliver Value With Cost-effective Generative Ai Applications, Paperback by Subramanian, Shreyas, ISBN 1394240724, ISBN-13 9781394240722, Like New Used, Free shipping in the US Learn to build cost-effective apps using Large Language Models In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In th, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine tuning. The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: Effective strategies to address the challenge of the high computational cost associated with LLMs Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models Perfect for developers and data scientists interested in deploying foundational models, or business leaders planning to scale out their use of GenAI, Large Language Model-Based Solutions will also benefit project leaders and managers, technical support staff, and administrators with an interest or stake in the subject.
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End Time: 2024-11-19T18:42:22.000Z
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Book Title: Large Language Model-based Solutions : How to Deliver Value With
Number of Pages: 224 Pages
Language: English
Publication Name: Large Language Model-Based Solutions : How to Deliver Value with Cost-Effective Generative AI Applications
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2024
Item Height: 0.6 in
Subject: Machine Theory, Natural Language Processing, General
Item Weight: 11.2 Oz
Type: Textbook
Author: Shreyas Subramanian
Item Length: 9.2 in
Subject Area: Mathematics, Computers
Item Width: 7.3 in
Series: Tech Today Ser.
Format: Trade Paperback
