GRPO fine-tuning on Red Hat OpenShift AI: Reinforcement learning from verifiable rewards with Training Hub

A tutorial walks through fine-tuning Qwen3-4B for correct tool-calling behavior using GRPO (Group Relative Policy Optimization), a reinforcement learning technique that uses verifiable rewards rather than human feedback. The workflow runs on Red Hat OpenShift AI using the Training Hub toolkit, covering setup and execution of a GRPO fine-tuning job in a Kubernetes-based ML platform environment.