000			03127nam a22003377a 4500
003			OSt
005			20260702140958.0
008			260702s20242024njua|||er|||| 001 0 eng d
020			_a9781394240722 [paperback]
040			_aUniversity of Cebu-Banilad _cUniversity of Cebu-Banilad
100			_aSubramanian, Shreyas, _eauthor.
245			_aLarge language model-based solutions : _bhow to deliver value with cost-effective generative AI applications / _cShreyas Subramanian.
260			_aHoboken, New Jersey : _bJohn Wiley & Sons Inc., _cc2024.
300			_axvii, 190 pages : _billustrations (black and white) ; _c23 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes index.
505			_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.
520			_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
521			_aAdult
541			_aPurchased _xOrtega, Eric _yCollege of Computer Studies _zComputer Science
546			_aText in English
650			_aLarge language models (Computer science).
650			_aGenerative artificial intelligence.
650			_aApplication software _xDevelopment.
650			_aArtificial intelligence _xBusiness applications.
942			_2ddc _cBK
998			_cJanna [new] _d07/02/2026
999			_c15450 _d15450