Price loading...

Mastering Spring AI: The Java Developer’s Guide for Large Language Models and Generative AI

AI & Machine Learning

Price data last checked 103 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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 Who This Book Is For Intermediate to advanced Java developers who are familiar with the Spring Framework, including concepts such as dependency injection, Spring Boot, and building RESTful services. This foundational knowledge will help developers grasp the more advanced topics of integrating AI technologies with Spring. Prior knowledge of basic AI concepts and machine learning is helpful but not essential as the book covers these topics from the ground up.

Product Specifications

Format: paperback
ASIN: B0DFPPKKRN
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 02 December 2024
Listed Since: 30 August 2024

Barcode

No barcode data available

Mastering Spring AI: The Java Developer’s Guide for Large Language Models and Generative AI

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Java for Programmers: with Generative AI (Deitel Developer Series)

ChatGPT for Java: A Hands-on Developer's Guide to ChatGPT and Open AI APIs

Large Language Models: A Deep Dive: Bridging Theory and Practice

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

The Art of Java Concurrency: A Deep Dive into the Executor Framework

Full Stack Development with Spring Boot and React: Build modern and scalable web applications using the power of Java and React

Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures

Transformers and Large Language Models: The Definitive Study Guide: From Foundations to Advanced Applications: A Comprehensive Resource for Mastering ... Modern AI: Foundations to Production)

Large Language Models (LLMs)

Generative AI for Software Developers: Future-proof your career with AI-powered development and hands-on skills

Artificial Intelligence and Games

Building AI Intensive Python Applications: Create intelligent apps with LLMs and vector databases

Generative AI for Effective Software Development

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG

Building Applications with Large Language Models: Techniques, Implementation, and Applications

Troubleshooting Java, Second Edition

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Master AI From Beginner To Business Leader.: Discover How To Streamline Your AI Journey, From Beginner Tools To Cutting Edge Business Applications ... (Artificial Intelligence For Everyone.)

Generative AI Security: Theories and Practices (Future of Business and Finance)

Generative AI Security: Theories and Practices (Future of Business and Finance)

Pro Spring MVC with WebFlux: Web Development in Spring Framework 5 and Spring Boot 2

Understanding Generative AI Business Applications: A Guide to Technical Principles and Real-World Applications

Building Generative AI Agents: Using LangGraph, AutoGen, and CrewAI

Generative AI: How ChatGPT and Other AI Tools Will Revolutionize Business