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Large Language Model-Based Solutions

How to Deliver Value with Cost-Effective Generative AI Applications de

Éditeur :

Wiley


Collection :

Tech Today

Paru le : 2024-04-02

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Description

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.
Pages
224 pages
Collection
Tech Today
Parution
2024-04-02
Marque
Wiley
EAN papier
9781394240722
EAN PDF
9781394240746
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
224
Taille du fichier
11786 Ko
Prix
45,15 €
EAN EPUB
9781394240739
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
224
Taille du fichier
16067 Ko
Prix
45,15 €

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