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☑️ Efficient Streaming Language Models with Attention Sinks

StreamingLLM, an efficient framework that enables LLMs trained with a finite length attention window to generalize to infinite sequence length without any fine-tuning.

🖥 Github: https://github.com/mit-han-lab/streaming-llm

📕 Paper: http://arxiv.org/abs/2309.17453

⭐️ Dataset: https://paperswithcode.com/dataset/pg-19

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☑️ Efficient Streaming Language Models with Attention Sinks

StreamingLLM, an efficient framework that enables LLMs trained with a finite length attention window to generalize to infinite sequence length without any fine-tuning.

🖥 Github: https://github.com/mit-han-lab/streaming-llm

📕 Paper: http://arxiv.org/abs/2309.17453

⭐️ Dataset: https://paperswithcode.com/dataset/pg-19

@Machine_learn

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