DLite: History-free Speculative Decoding for Agentic AI
DLite explained through a candidate-verification example, cache ownership, and a careful comparison of acceptance length and decoding speed.
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DLite explained through a candidate-verification example, cache ownership, and a careful comparison of acceptance length and decoding speed.
An analysis of FlashMask-3’s Hopper kernels, mask localization, load balancing, communication overlap, and long-context training results and limitations.
An analysis of SpecAgent, where a weaker model drafts tool calls and a stronger model verifies them, covering its design, experimental results, and limitations.
HLA-WM retrieves past chunks using camera geometry to restore scene memory. At 60 seconds, its history memory is about 12× smaller than Full KV and 6× larger than GDN,…
DCOCO reselects existing parallel draft candidates using contextual scores. This review distinguishes accepted length from actual throughput and examines correction…
Fixed-point behavior connects KV sharing, state reuse, and distilled prefill in looped language models. We review the savings and accuracy trade-offs demonstrated on…