Strategies for updating LLMs with new data including knowledge cutoff solutions, fine-tuning approaches, elastic weight consolidation, experience replay, and RAG alternatives.
Cost visibility as a first-class concern: per-request metering, cost circuit breakers, ROI calculations, spot instances, and anomaly detection for sustainable AI systems.
You deploy a seemingly innocent feature and suddenly CPU spikes from 20% to 95%. Response times triple. The root cause could be a regex gone wrong, a JSON parse on every request, a synchronous loop, or a dependency update. Here''s how to diagnose and fix CPU hotspots in production.