
Linear attention models can provide valuable insights into understanding Transformer optimization.


coremsg

understanding-transformer-optimization-with-linear-attention-models


Understanding Transformer Optimization with Linear Attention Models



Precomputing the first layer of transformers with RoPE can lead to lower latency and cost-per-token, optimizing inference speed.



Transformer Tricks: Precomputing the First Layer for Faster Inference
