Don’t Ask an LLM to Detect Training Failures. Ask It to Explain the Evidence.
中文摘要
不要让大模型检测训练故障，应让其解释证据。作者结合确定性检测和 Claude 推理开发了 TrainLens。
English Summary
Instead of using LLMs to detect training failures, use them to explain evidence. The author developed TrainLens using deterministic detection and Claude reasoning.
Original Excerpt
How I built TrainLens with deterministic anomaly detection, bounded Claude reasoning, FastAPI, Pydantic, React, and D3 Continue reading on Medium »