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Learn how to configure Spring AI to interact with large language models, support user-generated prompts, and connect with a vector store and simple RAG service in your Spring-based applications.
Four key concepts are essential for understanding Clojure’s functional programming paradigm. Here’s how to apply what you know about Java to learning Clojure.
Google ADK allows developers to build agentic appllications using Python, Java, or Go, and now supports the Agent2Agent protocol for multi-agent orchestration.
Get started with Java streams, including how to create streams from Java collections, the mechanics of a stream pipeline, examples of functional programming with Java streams, and more.
Java users can integrate ML into their Spring applications with Spring Boot Starter for Deep Java Library. Apply these frameworks to integrate ML capabilities into microservices for deep learning.
Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what you need to know about using Java, Rust, Go, or C#/.Net for AI/ML.
The iconic Java framework has evolved and modernized, integrating a host of new features without sacrificing power or simplicity.
While an argument to re-integrate JavaFX floats in an OpenJDK discussion list, Oracle ponders providing better access to JavaFX from the JDK.
Learn how to write robust Spring MVC unit tests with JUnit 5 and tools such as MockMvc, Mockito, and Spring’s TestEntityManager. You’ll also get a taste of slice testing, used for optimizing unit tests on web controllers and databases.
After Java, these are the four most important JVM languages. Let’s take a look.