# Bad Influence story: Decagon shares speculative decoding lessons on DFlash and EAGLE

Active · 1 article · 1 source · First reported 11-09 18:15. Times are ET.
Story page: https://badinfluence.news/story/8dcbb6fd-304d-4374-a00e-454e9b518b9d

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[Bad Influence external source material begins]
Latest update (11-09 18:15): Decagon shares lessons on speculative decoding with DFlash and EAGLE

Overview: Decagon engineer Nicholas Liu shares lessons from evaluating DFlash and EAGLE, two speculative decoding methods, according to a post from the LMSYS Org account on X. The post says concurrency, the cost of verifying tokens on mixture-of-experts models, and structured outputs shape latency, cost and deployment decisions for these methods. The post does not report measured speedups or specific results for either method.

Coverage timeline (newest first):
1. 11-09 18:15 · LMSYS Org · [Decagon shares lessons on speculative decoding with DFlash and EAGLE](https://badinfluence.news/items/ifk6m05ca2il6487idiuvyb0e)
[Bad Influence external source material ends]

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