BlockLock enables reproducible LLM inference by keeping shared batched prefill and pinning only the numerical path of the decode; a method for fixed batch geometry
Read the original at arxiv.org→arXiv:2611.06977v1 Announce Type: new Abstract: Reproducible LLM inference requires that a request produces the same output regardless of the other requests in the batch. Existing solutions pay for this in different...
Original headline: "BlockLock: Reproducible LLM Inference with Fixed Batch Geometry"
Coverage timeline
- Nov 6, 05:00 UTC arXiv cs.AI lead source BlockLock: Reproducible LLM Inference with Fixed Batch Geometry