Bøger af Banu Parasuraman

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

Unlike other resources that target only programming communities, this book targets both programming and business communities. With programming models shifting more towards no-code and low-code, citizen programmers from the business side will welcome this book as a guide for how to design and optimize their information pipeline while lowering costs for infrastructure. Programmers, on the other hand, will welcome this book's business-centric programming view, which will get them a step closer to fulfilling real business requirements.Practical Spring Cloud Function touches on the themes of portability, scalability, high performance and high availability. Each theme is explored via a real enterprise use case and code. The use cases target industries including energy (oil pipeline sensors), automotive (event-driven connected vehicles), and retail (conversational AI).After reading this book, you'll come away with the know-how to build and deploy cloud-native Javaapplications effectively and efficiently. What You Will LearnWrite functions and deploy to Amazon Web Services, Microsoft Azure, Google Cloud, IBM Cloud, and on-prem clouds such as VMWare Tanzu and RedHat OpenShiftSet up locally with KNative on Kubernetes, as well as on AWS, Azure, GCP, Tanzu, and othersBuild, test, and deploy a simple example with Spring Cloud FunctionDevelop an event-driven data pipeline with Spring Cloud FunctionIntegrate with AI and machine learning modelsApply Spring Cloud Function to the Internet of Things (IoT)Get industry-specific examples of Spring Cloud Function in actionWho This Book Is ForSoftware and cloud-native application developers with prior programming experience in the cloud and/or Spring Framework. DevOps professionals may find this book beneficial as well.