RLHF Tea: RL Is SFT with Negative Cap

RL for LLMs is just supervised finetuning plus negative examples and KL divergence, no cap.

Online vs offline training vibes affect model performance and complexity, fr.

OpenAI made RLHF seem only for safety, but the real tea is RL is the foundation of useful LLMs, periodt.