Reinforcement Learning-based Knowledge Distillation with LLM-as-a-Judge

Create an open-source framework for 'judge-based' distillation that doesn't require ground truth. This is a massive unlock for synthetic data generation pipelines.

Suggested repo: distill-judge

"Train smaller models better, with no ground truth required."

Estimated effort: 100h