Tutorials

Introducing ๐’๐ฉ๐ž๐œ๐ฎ๐ฅ๐š๐ญ๐ข๐ฏ๐ž ๐ƒ๐ž๐œ๐จ๐๐ข๐ง๐ : ๐‡๐จ๐ฐ ๐ˆ๐ญ ๐„๐ฏ๐จ๐ฅ๐ฏ๐ž๐, ๐–๐ก๐ž๐ง ๐ˆ๐ญ ๐’๐ญ๐š๐ฒ๐ฌ ๐‹๐จ๐ฌ๐ฌ๐ฅ๐ž๐ฌ๐ฌ, ๐š๐ง๐ ๐–๐ก๐š๐ญ'โ€ฆ

Introducing ๐’๐ฉ๐ž๐œ๐ฎ๐ฅ๐š๐ญ๐ข๐ฏ๐ž ๐ƒ๐ž๐œ๐จ๐๐ข๐ง๐ : ๐‡๐จ๐ฐ ๐ˆ๐ญ ๐„๐ฏ๐จ๐ฅ๐ฏ๐ž๐, ๐–๐ก๐ž๐ง ๐ˆ๐ญ ๐’๐ญ๐š๐ฒ๐ฌ ๐‹๐จ๐ฌ๐ฌ๐ฅ๐ž๐ฌ๐ฌ, ๐š๐ง๐ ๐–๐ก๐š๐ญ'๐ฌ ๐๐ž๐ฑ๐ญ. An interactive tutorial @Madisonkanna and I built for the NeurIPS Education Track. Every LLM you use generate

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Introducing ๐’๐ฉ๐ž๐œ๐ฎ๐ฅ๐š๐ญ๐ข๐ฏ๐ž ๐ƒ๐ž๐œ๐จ๐๐ข๐ง๐ : ๐‡๐จ๐ฐ ๐ˆ๐ญ ๐„๐ฏ๐จ๐ฅ๐ฏ๐ž๐, ๐–๐ก๐ž๐ง ๐ˆ๐ญ ๐’๐ญ๐š๐ฒ๐ฌ ๐‹๐จ๐ฌ๐ฌ๐ฅ๐ž๐ฌ๐ฌ, ๐š๐ง๐ ๐–๐ก๐š๐ญ'๐ฌ ๐๐ž๐ฑ๐ญ. An interactive tutorial @Madisonkanna and I built for the NeurIPS Education Track. Every LLM you use generates one token at a time. Autoregressive decoding is the bottleneck for inference. Speculative decoding accelerates this, and today it runs under nearly every hosted LLM. It is a cornerstone topic to learn in the LLM stack. Blog: https://neurips2026-speculative-decoding.vercel.app/

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Source: Swyx (X) | 2026-09-06

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