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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.
Banu Parasuraman is a distinguished AI-Enabled Cloud Solution Architect with over 30 years of experience in the IT industry, specializing in Generative AI, Machine Learning, and Large Language Models (LLMs) within cloud-native environments. As a trusted advisor to numerous companies across diverse sectors globally, he guides clients in transitioning to cloud platforms and implementing cutting-edge solutions such as Kubernetes and Cloud Foundry. His expertise spans major cloud platforms, and he's a passionate advocate for integrating AI and ML into cloud-native architectures. A frequent speaker at tech conferences and a prolific blogger, Banu bridges the gap between technical implementation and business strategy, helping organizations leverage the power of cloud computing enhanced by AI technologies. His comprehensive experience and forward-thinking approach make him a valuable asset in navigating the complex landscape of modern IT, particularly in harnessing the potential of Generative AI and LLMs in cloud-native solutions.
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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