Fine-tuning takes a dataset. RL takes a judgment.
On Crusoe Cloud, both paths produce LoRA adapters on the same open models and endpoints.
Start with Serverless Fine-Tuning, graduate to Managed RL, and track every run in Managed MLflow.
The full loop: