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Large Language Model-Based Solutions: HOW TO DELIVER VALUE WITH COST-EFFECTIVE GENERATIVE AI APPLICATIONS
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
quantisation 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.
...
Thể loại:Computers - Artificial Intelligence (AI)
Content Type:Sách
Năm:2024
In lần thứ:1
Ngôn ngữ:english
Trang:400