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Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data

158 points · 43 comments · Betelbuddy

  1. killerstorm · · focus · HN ↗
    This is, basically, text-to-LoRA with some extra stuff.

    I.e. it basically takes text, computes and embedding and makes a LoRA adapter out of this embedding.

    Note that it is equivalent to a recurrent module attached to a transformer. Dynamically generated weights (proposed in the article) are computationally equivalent to multiplicative-gating network with fixed weights. Basically just a beefier variant of GLU operating on a slightly larger state.

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