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bionhoward04/02/20251 replyview on HN

How does this compare with Byte Latent Transformer [1]? This happens with convolution post-embedding while BLT happens with attention at embedding time?

1. https://ai.meta.com/research/publications/byte-latent-transf...


Replies

janalsncm04/02/2025

As I understand it, BLT uses a small nn to tokenize but doesn’t change the attention mechanism. MTA uses traditional BPE for tokenization but changes the attention mechanism. You could use both (latency be damned!)