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Mastering Spring AI = the Java developer's guide for large language models and generative AI /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mastering Spring AI/ by Banu Parasuraman.
Reminder of title:	the Java developer's guide for large language models and generative AI /
Author:	Parasuraman, Banu.
Published:	Berkeley, CA :Apress : : 2024.,
Description:	xv, 424 p. :ill., digital ;24 cm.
[NT 15003449]:	1: Introduction to Generative AI and Large Language Models (LLMs) -- 2; Exploring Spring.io, Spring Components for Gen AI: The Developer's Backbone -- 3: Spring AI and LLMs -- 4: Spring AI and RAG -- 5: Conversational AI with Spring AI -- 6: Function Calling with Spring AI -- 7: Productionizing Spring AI -- 8: Real-world Case Studies.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Data processing. -
Online resource:	https://doi.org/10.1007/979-8-8688-1001-5
ISBN:	9798868810015

Mastering Spring AI = the Java developer's guide for large language models and generative AI /
Parasuraman, Banu.

Mastering Spring AIthe Java developer's guide for large language models and generative AI /[electronic resource] :by Banu Parasuraman. - Berkeley, CA :Apress :2024. - xv, 424 p. :ill., digital ;24 cm.

1: Introduction to Generative AI and Large Language Models (LLMs) -- 2; Exploring Spring.io, Spring Components for Gen AI: The Developer's Backbone -- 3: Spring AI and LLMs -- 4: Spring AI and RAG -- 5: Conversational AI with Spring AI -- 6: Function Calling with Spring AI -- 7: Productionizing Spring AI -- 8: Real-world Case Studies.

ISBN: 9798868810015

Standard No.: 10.1007/979-8-8688-1001-5doiSubjects--Topical Terms:

655284
Artificial intelligence
--Data processing.

LC Class. No.: Q335 / .P373 2024

Dewey Class. No.: 006.3

Mastering Spring AI = the Java developer's guide for large language models and generative AI /
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505 0 $a 1: Introduction to Generative AI and Large Language Models (LLMs) -- 2; Exploring Spring.io, Spring Components for Gen AI: The Developer's Backbone -- 3: Spring AI and LLMs -- 4: Spring AI and RAG -- 5: Conversational AI with Spring AI -- 6: Function Calling with Spring AI -- 7: Productionizing Spring AI -- 8: Real-world Case Studies.
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