Astana time
AI QAZAQSTANKZ · AIBeta

Smart portal about artificial intelligence and high technology in Kazakhstan

From the original source:

arXiv — cs.AI

Read full article at arXiv — cs.AI

Hybrid Spark: Adaptive Speculative Decoding That Lets the Content Choose the Drafter

arXiv:2611.05611v1 Announce Type: new Abstract: Speculative decoding (SD) speeds up large language model (LLM) serving, but its gain depends on the workload's \emph{shape}, such as batch size and context length, and on its \emph{content}. A model-based drafter proposes a short…

arXiv — cs.AIBy: Ekagra Ranjan, Bharat VenkiteshNovember 5, 2026 (2 hours ago)
Available in 1 languages

AI Summary & Key Takeaways

  • arXiv:2611.05611v1 Announce Type: new Abstract: Speculative decoding (SD) speeds up large language model (LLM) serving, but its gain depends on the workload's \emph{shape}, such as batch size and context length, and on its \emph{content}
  • A model-based drafter proposes a short…
Research
KZ·AI D3FE
Инсайт дня

Hybrid Spark: Adaptive Speculative Decoding That Lets the Content Choose the Drafter

Share:

Related stories

Claude even bans paid accounts. How not to lose everything?

Claude even bans paid accounts. How not to lose everything? ⠀ Imagine: you pay $200 for Claude Max, manage projects, store correspondence, and one day you see Account Suspended. Access was lost, but the work remained inside. ⠀ In October, complaints about blocking became more frequent, including after...

Telegram — Paragon | Нейросети и ИИ

Who May Overrule the Agent? Evidence-Gated Authority in LLM Review Institutions

arXiv:2611.05390v1 Announce Type: new Abstract: Multi-agent language-model systems often add a reviewer to improve an upstream agent's decision. Yet a reviewer can both repair errors and replace decisions that were already correct. We study this as a problem of institutional…

arXiv — cs.AI

Agent Harness Awareness: Turning Verified Telemetry into Operational Control for Tool-Using Agents

arXiv:2611.05391v1 Announce Type: new Abstract: Tool descriptions tell an agent what an action can do, but they do not necessarily reveal whether that action is healthy or suitable at the moment of use. Execution harnesses often possess this information through monitors, traces,…

arXiv — cs.AI

Back to list