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Memory-Based Speculative Decoding, Explained in 3 Minutes (INLG 2026)
DFlash: Faster LLM Inference via Block Diffusion
5 Tokens for the Price of 1: LLM Speculative Decoding with AngelSpec, DFlash & DFly
DFlash Just Made AI 6x Faster : DFlash, DeepSpec Explained
MTP vs DFlash — Speculative Decoding Explained Simply
ML Performance Reading Group 23: DFlash: Block Diffusion for Flash Speculative Decoding
Speculation is all you need: Intro to Speculative Decoding for High Performance Inference
Lecture 22: Hacker's Guide to Speculative Decoding in VLLM
AgSpec: Speculative Decoding in Coding Agents (Deep Dive)
Speculative Decoding Explained: DeepSeek DSpark, Tested on a Mac
What is Speculative Decoding making LLMs faster
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Last Updated: October 20, 2026
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Summary
Geometric's Pramodith Ballapuram provides a Modal x Cognition: Inside Devin's inference stack: RL, Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ... In today's session, Jian Chen presents How can a large language model generate text faster and with less energy? This animation shows In this AI Research Roundup episode, Alex discusses the paper: ' Why do $10/hr GPUs sit 98% idle? Two ways to make your local AI faster with no quality loss — here is what makes them different and which one you should actually ... Paper: arxiv.org/abs/2602.06036 Presenter: Shayan Shamsi. Abstract: We will discuss how vLLM combines continuous batching with DeepSeek DSpark Explained: 50–400% Faster LLM Inference Without Retraining I break down DeepSeek's new DSpark ...