The Atropos release by @NousResearch is a major milestone in reinforcement learning for AI.
RL is very different from fine tuning. Fine tuning teaches an LLM to mimic fixed input/output examples. Reinforcement learning has the model interact and explore via trial-and-error feedback, adjusting its behavior to optimize long term, multi-step goals rather than just static accuracy.
You’ve seen us mention RL recently a lot (e.g. @SPLehman’s amazing RL post, podcast dropping soon – also covered with @IridiumEagle in part on a recent podcast), so this deserves a longer form post.
What it is:
Atropos is an open source toolkit for reinforcement learning environments for LLMs, collecting and evaluating model tra
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