Current sign language machine translation systems rely on recognizing hand movements, facial expressions, and body postures, and natural language processing, to convert signs into text. While recent ...
LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.
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