Description

Book Synopsis

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
  • Assist

Large Language ModelBased Solutions

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    A Paperback by S Subramanian

    £36.09

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      Book details

      Publisher John Wiley & Sons
      Published 4/29/2024
      ISBN-13 9781394240722
      978-1394240722
      ISBN-10 1394240724
      Also in:
      Computing Natural language and machine translation

      Description

      Book Synopsis

      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
      • Assist

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