AI Search explains autoregressive generation and speculative decodingSpeculative decoding accelerates text generation by proposing several tokens cheaply and checking them together with the target model., where a smaller model proposes tokens for a larger model to verify. The presenter compares sequential and parallel drafting and describes errors that can arise later in a parallel draft.
The video describes a lightweight Markov-guided component to improve draft consistency and a confidence head that cuts uncertain drafts short. It also explains how scheduling adapts draft length to GPU capacity and concurrent requestsResource utilization measures how much of an available computing resource is being used over a defined period. It can describe processor activity, memory occupancy or other capacity relevant to an AI workload..
The presenter reports speed and throughput improvementsAI inference throughput measures how much model-serving work a system completes per unit of time. from the DeepSeek work, while presenting those figures as results of the described evaluation rather than guaranteed performance for every deployment.
Watch on YouTube
