Distributionally Robust Token Optimization in RLHF

Develop a plug-and-play training loop that integrates distributionally robust optimization into standard RLHF workflows. This will help make LLMs more resilient to prompt variations.

Suggested repo: robust-rlhf

"Train models that actually hold up under pressure; stop prompt sensitivity in its tracks."

Estimated effort: 30h