AWS Explains Why Speculative decoding Never Changes LLM Output

AWS's Antje Barth published a code-included GitHub article explaining speculative decoding: a small model guesses tokens while the large model verifies, and a single subtraction guarantees output stays identical to the original model—the retained fraction equals the intersection of the two probability distributions.

2026-10-26 ~ 2026-10-26 · 2 related posts

• Speculative Decoding Explained: a 30% Wrong Guesser Never Changes the Output — anbarth · 2026-10-26
• Speculative Decoding in One Subtraction: Why Even Backward Guessers Preserve Output — anbarth · 2026-10-26