Articles tagged with #genai

Practical instrumentation strategies for measuring and allocating LLM costs in production across tenants, A/B tests, and feature flags without sacrificing latency.

Real-world prompt injection detection and mitigation for production AI systems. Trade-offs between sandboxing, filtering, and risk acceptance with concrete RAG and multi-turn examples.

Close the gap between offline benchmarks and production reality. Concrete patterns for designing evals that catch hallucinations, detect drift, and drive business decisions.

Concrete strategies for deploying LLM-powered features safely: evaluation frameworks, fallback patterns, cost controls, and monitoring approaches that actually work.