Programming large language models with Azure Open AI : conversational programming and prompt engineering with LLMs / Francesco Esposito

By:

Esposito, Francesco

Material type:

TextSeries: Professional (Microsoft Press)Publication details: United States : Microsoft Press, 2024Description: xvi, 240 pISBN:

9780138280376

Subject(s):

DDC classification:

006.31 ESP-P

Summary: Autonomously 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

Item type:

Books

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Current library	Call number	Copy number	Status	Barcode
UMT Main Campus	006.31 ESP-P (Browse shelf(Opens below))		Available	151429
UMT Main Campus	006.31 ESP-P (Browse shelf(Opens below))	C.2	Available	152888

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Previous	006.31 DEE- Deep learners and deep learner descriptors for medical applications /	006.31 DEN-S Support vector machines: optimization based theory, algorithms, and extensions /	006.31 DUR-M Machine learning control--taming nonlinear dynamics and turbulence /	006.31 ESP-P Programming large language models with Azure Open AI : conversational programming and prompt engineering with LLMs /	006.31 ESP-P Programming large language models with Azure Open AI : conversational programming and prompt engineering with LLMs /	006.31 FAU-C A concise introduction to machine learning /	006.31 FAU-C A concise introduction to machine learning /	Next

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Autonomously 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

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