Research
TAO proposes tool-aware joint scheduling for LLM agent serving
TAO is a research framework that jointly schedules LLM inference and external tool calls. It reports latency cuts of up to 26.8%, TTFT reductions of up to 36.3% and decode throughput gains of up to 29.5% against the best evaluated baselines.
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Hugging Face PapersResearchLead
TAO: Tool-Aware Joint Scheduling for LLM-Based Agentic Serving