Speculative Decoding: Faster LLM Inference Without Quality Loss
1Key Takeaways
- Originally published on AI Tech Connect .
- What you need to know It is lossless.
- Speculative decoding accelerates generation by drafting several tokens cheaply and verifying them in one target-model pass.
- A rejection-sampling step guarantees the output distribution is identical to plain decoding — you are not trading quality for speed.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that originally published on AI Tech Connect .
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