Name: Large Language Model-Based Solutions: How to Deliver Value With Cost-Effective Generative ai Applications (Tech Today) (en Inglés)
SKU: 56147657
Price: 62.90 USD
Availability: InStock
Author: Subramanian Shreyas

portada Large Language Model-Based Solutions: How to Deliver Value With Cost-Effective Generative ai Applications (Tech Today) (en Inglés)

Large Language Model-Based Solutions: How to Deliver Value With Cost-Effective Generative ai Applications (Tech Today) (en Inglés)

Formato

Libro Físico

Editorial

Wiley

Autor

Subramanian Shreyas

Idioma

Inglés

N° páginas

224

Encuadernación

Tapa Blanda

ISBN13

9781394240722

N° edición

Large Language Model-Based Solutions: How to Deliver Value With Cost-Effective Generative ai Applications (Tech Today) (en Inglés)

Subramanian Shreyas (Autor) · Wiley · Tapa Blanda

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Reseña del libro "Large Language Model-Based Solutions: How to Deliver Value With Cost-Effective Generative ai Applications (Tech Today) (en Inglés)"

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 the book, 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.