3 ms·

Log-Linear Attention

• iknownothow 1y ago
  > Log-linear attention replaces the fixed-size hidden state with a logarithmically growing set of hidden states Does this mean the models can be smaller too (on top of the primary benefit of being faster)?
  • Lerc 1y ago
    Reduced memory consumption for context perhaps, but hidden state is different from weights. I don't think this would improve the model's capability per model parameter (but as with everything with ML, I wouldn't bet against it until it's been tested)
• btilly 1y ago
  I think it would be very good if they can make this work. I suspect that we do something not entirely unlike this, and that is why spaced repetition is so good for stuffing things into our long term memories.