AI
aiThis section covers applied AI and machine learning for engineers — building, deploying, and operating systems powered by large language models and ML, with a strong focus on production concerns: cost, latency, reliability, and evaluation. Expect concrete numbers and field notes over hype.
Topics include LLM cost optimization, prompt and retrieval patterns, model selection and routing, and the MLOps practices that keep AI systems dependable as they scale.
