Pattern Defined Precise Definition: Speculative Decoding is an optimization pattern where a...
Pattern Defined
Precise Definition: Speculative Decoding is an optimization pattern where a
smaller, "draft" model predicts multiple upcoming tokens in parallel, which are
then verified or corrected by a larger "oracle" model in a single forward pass.
Problem Being Solved
SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices
Boosting DeepSeek-R1’s Speed with Customized Speculative Decoding
Speculative decoding for high-throughput long-context inference
Accelerate RL rollouts by up to 50% with distribution-aware speculative decoding
Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding
How Together AI Uses AI Agents to Automate Complex Engineering Tasks: Lessons from Developing Efficient LLM Inference Systems
Decode the Decoding in Tabby | Tabby AI coding assistant
Flash-Decoding for long-context inference
The Sequence AI of the Week #867: Thinking in Latents: Why Sapient's HRM-Text Is a Quiet Rebuke to Chain-of-Thought
NVIDIA AI Releases Nemotron-Labs-Diffusion: A Tri-Mode Language Model with 6× Tokens Per Forward Over Qwen3-8B
Learn how speculative decoding speeds up LLM responses, when batch size works against it, and how it pairs with semantic caching…
We introduce SpecExec, a new speculative decoding method that applies the classical approach of “speculative execution” to LLM…
TLDR: In this blog post, we show that using a custom speculator—trained on your own Deepseek-R1 inference traffic—can yield…
IntroductionThe amount of inference being performed with LLMs is growing dramatically across many different use cases, many of…
MoE models enhance speculative decoding through bandwidth-bound sweet spots, expert routing correlation reducing unique weight…
TL;DR: AI coding fails because context is temporary and intent is vague. OpenSpec introduces...
