Speculative Decoding: Faster LLM Token Generation

What is speculative decoding? A small draft model proposes tokens; the large LLM verifies them. Same output distribution as the big model-faster when the draft is often right. What you will learn • Why one token per forward pass wastes GPU parallelism • Draft model vs target model • One-pass verification and rejection • Why draft quality controls the speedup • How it sits next to GQA, quantization, and PagedAttention Playlists DEEP AI: https://www.

youtube. com/playlist? list=PLK3S1GR94Fzg

Watch the video for the full walkthrough. Use this page when you want the argument in writing without scrubbing the timeline.