AI For DBAs: Internals and Architecture of LLMs

Database expert Kevin Kline explains the internal architecture of Large Language Models, highlighting the fundamental difference that databases retrieve exact data while LLMs generate probabilistic predictions based on learned patterns. The article advises DBAs to treat AI outputs as drafts requiring verification and recommends using Retrieval Augmented Generation (RAG) alongside human oversight due to non-deterministic results. Finally, it demonstrates how SolarWinds applies these secure AI principles in its database tools to support tasks like anomaly detection and query optimization without training on customer data.