Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications (Tech Today)

Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications (Tech Today)
by: Shreyas Subramanian (Author)
Publisher: Wiley
Edition: 1st
Publication Date: 30 April 2024
Language: English
Print Length: 224 pages
ISBN-10: 1394240724
ISBN-13: 9781394240722
Book Description
Learn to build cost-effective apps using Large Language ModelsIn 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 LLMsAssistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniquesSelection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific modelsPerfect 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.