Grammar-constrained decoding and speculative decoding, running together on one token stream — and a proof that the combination changes nothing but the number of forward passes. The KV working set is ...

Speculative decoding accelerates autoregressive generation by letting a faster draft model propose multiple tokens that a target model verifies in parallel without changing the target distribution.

This folder contains an end-to-end runnable speculative decoding fine‑tuning pipeline in which Llama‑3.2‑1B (Hugging Face) is trained on the Daring-Anteater dataset. This example focuses on training ...

Why share the NotebookLM source itself? As of 2026, Speculative Decoding is an unavoidable technology when discussing LLM inference, but the information sources are scattered across research papers ...