In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

The JHipster team has shipped JHipster 9.0.0-beta.2, a follow-up to the project's first 9.0 beta, aimed squarely at improving generator stability while pushing the stack forward with Spring Boot 4.x.

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...