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(한/영 AI교차번역) Large Language Model-Based Solutions: HOW TO DELIVER VALUE WITH COST-EFFECTIVE GENERATIVE AI APPLICATIONS by Shreyas Subramanian is a nonfiction available to read on EtoBox.

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한글/영문 AI교차 번역판Learn 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...

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It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Shreyas Subramanian
Publisher
Wiley & Sons, Incorporated, John
Published
2024
Language
EN
ISBN
9781394240739
Category
nonfiction
Subjects
Computer Science, Science, Artificial Intelligence (Ai)

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