Mastering Spring AI : The Java Developer’s Guide for Large Language Models and Generative AI / by Banu Parasuraman.

Format:

Book

Author/Creator:

Parasuraman, Banu.

Language:

English

Subjects (All):

Artificial intelligence--Data processing.

Artificial intelligence.

Physical Description:

1 online resource (434 pages)

Edition:

1st ed. 2024.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2024.

Summary:

Dive into the future of programming with this comprehensive guide for Java developers to integrate large language models (LLMs) and Generative AI using the Spring Framework. This book comes at a revolutionary time when AI technology is transforming how we implement solutions in various fields, including natural language processing, content generation, and predictive analytics. With its widespread use in the Java community, the Spring Framework is a logical choice for this integration. By focusing on integrating LLMs and GenAI with Spring, this book bridges a significant gap between cutting-edge AI technologies and traditional Java development practices. The author uses a hands-on approach, guiding you through practical implementation to effectively show how to apply theory in real-world situations. Basic introductions of topics—Spring AI, Spring Framework, and other related AI technologies—evolve into advanced integrations to ensure that you find valuable insights regardless of your starting level. Additionally, this book dedicates sections to security and ethical considerations, addressing the pressing issues associated with AI. With a look at emerging trends and future developments, this book prepares you for what's next, ensuring that you are not just catching up with the current state of technology but are also ready for future advancements. What You Will Learn • Master the integration of LLMs and GenAI with the Spring Framework • Develop practical skills in developing AI-driven applications using Java • Gain insights into handling data, security, and ethical considerations in AI applications • Apply strategies for optimizing performance and scalability in AI-enabled applications • Prepare for future AI trends and technologies .

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9798868810015

OCLC:

1474906590