Amazon Bedrock adds reinforcement fine-tuning simplifying how developers build smarter, more accurate AI models

Create a lightweight, standalone library that implements reinforcement fine-tuning (e.g., DPO/PPO) for local open-weight models. Most current implementations are too heavy or tied to massive enterprise clusters.

Suggested repo: nanoRL

"Master RL-based fine-tuning on consumer hardware with 66% accuracy gains."

Estimated effort: 100h