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Last updated: May 9, 2026, 11:30 PM ET

LLM Engineering & Production Systems

Practitioners building large language models must master key concepts spanning tokenization strategies to advanced evaluation methodologies necessary for deploying functional systems. A common production pitfall involves retrieval-augmented generation (RAG) systems failing to account for temporal data, as demonstrated when a deployed AI tutor provided outdated, misleading responses despite rigorous initial testing, indicating that temporal context layers are essential additions for production RAG pipelines.