Unverified50% confidenceFactExact time
The arXiv paper "Calibrate, Then Route" proposes a learned router based on cost estimation for request scheduling in disaggregated LLM serving.
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9/16/2026
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UnverifiedThe project uses the PyTorch framework, is trained on a pure English Markdown dataset, and aims to run locally on a consumer-grade RTX 5070 graphics card.61% similarUnverifiedAs a router, PAIR distributes requests across multiple inference endpoints, sensing in real time the compute status, load levels, and model deployment conditions of each device, and directing inference requests to the most suitable node.61% similarUnverifiedHelicone provides proxy-based LLM call logging and analytics, LangSmith provides end-to-end trace tracking, and Portkey focuses on AI gateways and cost control.60% similarUnverifiedPBL tutorials can complement AI tools such as ChatGPT, Claude, and GitHub Copilot, forming a learning model of roadmap plus on-demand Q&A.60% similarUnverified该项目实现了自动化的数据爬取和模型再训练流程，并通过容器化部署到AWS实现从数据采集到模型更新的闭环自动化59% similar
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