000			01594nam a22002537a 4500
005			20260610154652.0
008			260605s2024 |||||||| |||| 00| 0 eng d
020			_a9780138280376
040			_cPK-LaUMT
082			_a006.31 _bESP-P
100	1		_aEsposito, Francesco _99015
245	1	0	_aProgramming large language models with Azure Open AI : _bconversational programming and prompt engineering with LLMs / _cFrancesco Esposito
260			_aUnited States : _bMicrosoft Press, _c2024
300			_axvi, 240 p.
490			_aProfessional (Microsoft Press)
500			_aIndex present
520			_aAutonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programmingwith specific techniques for patterns and frameworksunlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input. -- Provided by publisher
546			_aEng
650			_aArtificial intelligence
650			_aMachine learning
650			_aAzure Open AI service _912300
650			_aComputer programming
942			_cBK
999			_c140974 _d140974