Everyone knows that applying rigid testing requirements to early stage AI projects causes them to stall… but some companies do it anyway. Andrew Ng explains why AI engineering tactics must adapt to the stage of the project, not just for speed, but for reliability. Read about how to calibrate your approach: 🛠️ Scaling evaluation pipelines and metrics 🛠️ Selecting software architecture for scale 🛠️ Structuring product feedback loops Read the full letter in The Batch:…