PROFESSIONAL • LLM and RAG Production

Feature Quality Checkpoint #8

This lesson focuses on reduce training instability using a practical fraud detection baseline scenario. You will apply commands: alert rules for drift/latency | pip install evidently | docker compose up -d. The code example demonstrates a concrete workflow aligned with this lesson objective, not generic filler.