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Reported model gains in 30 reinforcement-learning steps

A commenter calls the improvement dramatic and says it took far fewer training steps than they expected.

Songlin YangSY
1 Source, 21d ago, first seen 21d ago

TLDR

A commenter says a model improved dramatically in 30 reinforcement-learning steps, surprising them with how few steps it needed. They wonder why training didn’t continue, saying they see “no sign of a plateau.”

Combined views

33

1 Source, first seen 21d ago

8 reposts

Combined views

33

1 Source, first seen 21d ago

8 reposts

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Sentiment

Positive——Negative

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Not enough discussion yet.

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1 Source

Songlin Yang@SonglinYang4RT @stochasticchasm: headliner here and most surprising thing to me is that the model improved so much in 30 RL steps. way less steps than…21d
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    1 Source

    Songlin Yang@SonglinYang4RT @stochasticchasm: headliner here and most surprising thing to me is that the model improved so much in 30 RL steps. way less steps than…21d
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