Meta challenges transformer architecture with Megalodon LLM
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Megalodon also uses “chunk-wise attention,” which divides the input sequence into fixed-size blocks to reduce the complexity of the model from quadratic to linear.

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More from VentureBeat | AI ML and Deep Learning category- Science Computer Science large language models liquid neural networks LLaMA 2 llama 3 LLMs Megalodon Meta parameters quadratic complexity Transformers University of Southern California