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    Rohan Anil Says Rethink Gradient Descent for More Progress

    Former Google DeepMind engineer states more training progress is possible by rethinking gradient descent.

    RA
    1 Source, 27d ago, first seen 27d ago

    TLDR

    Rohan Anil, co-founder of CoreAutoAI and former Distinguished Engineer at Google DeepMind on Gemini pretraining, posted that there is a lot more progress if gradient descent is rethought for training. The tweet presents the point as a repeated assertion from the author and includes his professional background. The packet contains only this single source line with no additional claims, examples, or corroboration from other accounts.

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    1 Source, first seen 27d ago

    Combined views

    21.5K

    1 Source, first seen 27d ago

    349 likes
    349 likes
    21 comments
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    12 reposts

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    21 comments
    68 saves
    12 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @_arohan_I must state again, there is lot more progress if we rethink gradient descent for training.

    1 Source

    @_arohan_I must state again, there is lot more progress if we rethink gradient descent for training.