Microsoft Research has presented LLM-42, a scheduling-based technique for deterministic large-language-model inference. The system generates candidate tokens on a fast path and verifies them under a fixed-shape schedule, rolling back when mismatches occur. Researchers say the approach allows determinism to be applied selectively, which can be useful for evaluation, auditing and continuous-integration workloads.
Microsoft Research presents LLM-42 for deterministic AI inference
LLM-42 uses a decode-verify-rollback approach designed to make selected LLM inference requests reproducible without disabling dynamic batching.
Margalla Newstechnology
Microsoft Research presents LLM-42 for deterministic AI inference
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Article: https://margallanews.com/story/microsoft-llm42-deterministic-inference-verified-speculation-2026-09-29