llm-post-training-atlas
An opinionated atlas of post-R1 LLM post-training: RL, rewards, alignment, distillation, agents, and their connections.
This repository maps the post-R1 LLM post-training landscape. RL is its intellectual spine, not its boundary: the real question is how a model's policy is shaped — through reward, preference, demonstration, distillation, context, experience, or interaction.
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