02986nam a22002897a 4500003000400000005001700004008004100021020003000062040005900092100003700151245013800188260006100326300006600387336002200453337002500475338002400500504002100524505030000545520156400845521001102409541007502420546002102495650004702516650004102563650003902604650005302643OSt20260702140958.0260702s20242024njua|||er|||| 001 0 eng d  a9781394240722 [paperback]  aUniversity of Cebu-BaniladcUniversity of Cebu-Banilad  aSubramanian, Shreyas, eauthor.   aLarge language model-based solutions : bhow to deliver value with cost-effective generative AI applications /cShreyas Subramanian.   aHoboken, New Jersey : bJohn Wiley & Sons Inc., cc2024.  axvii, 190 pages : billustrations (black and white) ;c23 cm.  2rdacontentatext   2rdamediaaunmediated  2rdacarrieravolume   aIncludes index.   aContents: Introduction — Chapter 1 Introduction — Chapter 2 Tuning techniques for cost optimization — Chapter 3 Inference techniques for cost optimization — Chapter 4 Model selection and alternatives — Chapter 5 Infrastructure and deployment tuning strategies — Conclusion — Index.  a"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 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 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." --Provided by th publisher   aAdult   aPurchasedxOrtega, EricyCollege of Computer StudieszComputer Science  aText in English   aLarge language models (Computer science).   aGenerative artificial intelligence.   aApplication softwarexDevelopment.  aArtificial intelligencexBusiness applications.