Видео с ютуба Speculativedecoding
Faster LLMs: Accelerate Inference with Speculative Decoding
Speculative Decoding: When Two LLMs are Faster than One
Спекулятивное декодирование: в 3 раза более быстрый вывод LLM без потери качества.
Eagle 3: Ускорение вывода LLM
Speculative Decoding Explained
Your local LLM is 10x slower than it should be
Объяснение спекулятивного декодирования
Deep Dive: Optimizing LLM inference
Why and How Speculative Decoding Evolved Beyond Draft MTP Models.
Спекулятивное декодирование: как глупая модель ускоряет LLM в 3 раза
Qwen3.8-27B MTP Performance Test | llama-cpp-python 0.3.47 vs 0.3.48
EAGLE and EAGLE-2: Lossless Inference Acceleration for LLMs - Hongyang Zhang
Your Local LLM Is 3x Slower Than It Should Be
Run MLX LLMs 50% Faster on a Mac with DSpark (Speculative Decoding)
How to make LLMs fast: KV Caching, Speculative Decoding, and Multi-Query Attention | Cursor Team
Qwen 3.8 27B + DFlash2: 140 Token/Sec?
Get More Performance From Your DGX Spark — vLLM + Grafana Tuning Dashboard
Inside Cognition's inference stack: RL, speculative decoding & DFlash
How to PROPERLY Use Speculative Decoding in LM Studio to DOUBLE Your AI Speed
DSpark: DeepSeek-V4's Insane Compute Optimization Explained