What is Speculative Decoding? (trending on paperswithco.de) [R]

Short summary

Speculative decoding is a trending inference optimization using a small draft model to propose tokens verified in parallel by a larger model, significantly speeding up LLM token generation without quality loss. SGLang released a blog post detailing state-of-the-art latencies using Modal and Z.ai's DFlash speculative decoding. Explore papers and implementations on Papers with Code.

• •Draft model quickly proposes multiple future tokens; target model verifies in parallel
• •Achieves significant inference speedup without sacrificing output quality
• •SGLang/vLLM frameworks now support state-of-the-art implementations via Modal and DFlash

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