#vllm

Introducing RSI-Inference Bench from 🍎 Apple ML Research 🌐 💻 Can AI agents improve the systems that run AI? We spent $100K API tokens, 50K GPU hours to find out. We built environments and benchmark from real-world #vLLM and #SGLang tasks, covering the full lifecycle of model inference engineering: 🚀 Day-0 Model Support ⚡ Inference Optimization 🔧 Bug Fix → Unsaturated: best agent at 26.7% pass@1 → Comprehensive coverage of the inference stack → Verifiable rewards: binary and continuous Watch the video to find out more!
Ruixiang Zhang79,918 Aufrufe • vor 1 Monat
Keine weiteren Inhalte verfügbar
