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Cut LLM cold starts from minutes to seconds by pre-materializing CUDA graph execution contexts, sidestepping brittle kernel patching and heavyweight checkpointing.
Attention norms, computed under a RoPE geometry, pinpoint the exact tokens in retrieved documents that unlock better long-context RAG, enabling more efficient KV recomputation.
