Large Language Model-Based Solutions: HOW TO DELIVER VALUE WITH COST-EFFECTIVE GENERATIVE AI APPLICATIONS

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.

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