Java and AI? - Inside Java Newscast #72

AI development can be split into three categories: developing an ML model (where Java isn't competitive and is unlikely to become top of the class any time soon), developing an AI-centered product (where Java is well-positioned and will become stronger soon; but does this category matter in the long run?) and adding AI-based features to larger projects (where Java is already very good and will only become stronger thanks to Valhalla's value types, Panama's FFM and vector APIs, and Babylon's code reflection). *Chapters* 0:00 Intro 1:06 Three Kinds of AI MKBHD - AI the Product vs AI the Feature: https://www.youtube.com/watch?v=sDIi95CqTiM 2:48 AI Features in Java TornadoVM: https://www.tornadovm.org/ ONNX Runtime: https://onnxruntime.ai/ DJL: https://djl.ai/ Tribuo: https://tribuo.org/ LangChain4j: https://docs.langchain4j.dev/ Project Valhalla: https://openjdk.org/projects/valhalla/ Project Panama: https://openjdk.org/projects/panama/ vector API: https://openjdk.org/jeps/469 Project Babylon: https://openjdk.org/projects/babylon/ Babylon and Triton: https://openjdk.org/projects/babylon/articles/triton more on data-centric applications: https://inside.java/2024/05/23/dop-v1-1-introduction/ 6:45 AI Products in Java 7:41 AI Development in Java 9:38 Outro *Tags* #Java #OpenJDK #AI