Reinforcement learning fine-tuning in the Google Cloud console (Preview)

Reinforcement learning fine-tuning in the Google Cloud console (Preview)

You can create, monitor, and test reinforcement learning fine-tuning jobs for Gemini models in the Google Cloud console (Preview). From the Models > Tuning page, you can configure Python code or model-based reward functions, test reward logic against sample prompts before launching a job, track training and evaluation metrics in real time, and test tuned checkpoints in Agent Studio.

For more information, see Quick start: Reinforcement learning fine-tuning using the console.