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For people out there making AI agents, how are you evaluating the performance of your agent?
AI isn’t ready to replace human coders for debugging, researchers say | Ars Technica
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evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
mobile_scanner
A universal scanner for Flutter based on MLKit. Uses CameraX on Android and AVFoundation on iOS.