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Все о блокчейн/мозге/space/WEB 3.0 в России и мире

9 Jul 2024, 18:49

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⚡️Создана новая архитектура LLM, которая превосходит Transformers и Mamba

TTT-Linear как новый механизм сжатия информации и моделирования памяти, может стать заменой self-attention layer в Transformer.

Новая архитектура заменяет скрытое состояние RNN моделью машинного обучения сжимает контекст посредством фактического градиентного спуска по входным токенам.

Код вместе с jax.
Код PyTorch.
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Self-attention performs well in long context but has quadratic complexity. Existing RNN layers have linear complexity, but their performance in long context is limited by the expressive power of...

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