AI Observability & Evaluation
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Updated
Jun 25, 2025 - Jupyter Notebook
AI Observability & Evaluation
Evaluation and Tracking for LLM Experiments and AI Agents
A comprehensive solution for monitoring your AI models in production
A python library to send data to Arize AI!
Java client to interact with Arize API
Example projects for Arthur Model Monitoring Platform
Fencing Game
AI-powered online exam proctoring system that detects suspicious activities using computer vision. Tracks eye movements, face presence, multiple faces, and talking during exams with real-time alerts and dashboard.
Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.
A mathematical and AI-assisted framework to define, suppress, and treat cancer based on constructive principles. Includes proof equations, monitoring models, and patient-specific treatment paths. がんの発生・監視・治療を構成的に定式化し、AIにより制御可能とする理論体系。証明式、監視モデル、個別治療戦略を含みます
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