Verification-aware training speeds up draft models
This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.
Speculative decoding can substantially reduce the latency of large language model inference, often achieving notable speedups. However, draft models are trained without regard to the sequential verification step that discards tokens after the first rejection. A training plug‑in that simulates verif…
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- 2026-09-14 05:00 · DEV Community — Machine Learning
Verification-aware training speeds up draft models