Reinforcement learning makes LLMs stronger as they get stronger; the Never Give Up method helps models tackle hard problems
This is a blog post for my recent paper on RL post-training of LLMs: introducing the Matthew Effect and proposing to solve it with Never Give Up.
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Open original at mnoukhov.github.io