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Transformers: Quadratic complexity
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6 Documents (Liste longue) 
Albert Gu sur X : "Quadratic attention has been indispensable for information-dense modalities such as language... until now..."
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2023-12-05 A propos
NLP News #66: ✨ Flashier Attention, 🤐 Gzip classifiers
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2023-08-14 A propos
[2307.02486] LongNet: Scaling Transformers to 1,000,000,000 Tokens
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2023-07-06 A propos
Aran Komatsuzaki sur Twitter : "Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System Enables LLMs to outperform ChatGPT in scenarios involving ultra-long document summarization or long-term conversations."
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2023-04-27 A propos
Aran Komatsuzaki sur Twitter : "Scaling Transformer to 1M tokens and beyond with Recurrent Memory Transformer..."
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2023-04-25 A propos
Amin Karbasi sur Twitter : "...Computation ofTransformer models incurs quadratic time/memory complexities in sequence length... Can we dramatically accelerate them?"
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2023-02-19 A propos
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