Building reliable AI out of unpredictable components requires a new playbook: continuous iteration and disciplined eval loops. To help developers bridge the gap from quick demo to production, @AndrewYNg mapped out Pillar 1: Building and deploying AI Applications, of the AI Engineering Skills Map: 👇🧵👇 🧠 LLM Foundations: Understand model mechanics to predict failures and select the right architecture. 📊 Grounding Models with Data: Architect reliable context through clean data pipelines and…