AI & ML Research 8 Hours

Last updated: May 9, 2026, 2:30 PM ET

Large Language Model Engineering & Production

Practitioners developing large language models must master technical fundamentals, moving beyond basic prompting to deeply understand complex areas like tokenization schemes and practical model evaluation methodologies. A common production pitfall involves Retrieval-Augmented Generation (RAG) systems exhibiting temporal decay, as one developer observed when an AI tutor provided outdated information that misled a learner, necessitating the construction of specialized temporal layers for real-time relevance maintenance in deployed applications.