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TileMix achieves a breakthrough in LLM inference by enabling mixed-precision attention that boosts throughput while maintaining long-context quality.
Abliterated LLMs can dramatically enhance vulnerability detection and patch validation, achieving up to 67.8% usability in early-stage validation compared to just 29.9% for their aligned counterparts.
