AI models go through two phases: training, in which they absorb vast amounts of text and learn how to think, reason, and synthesise ideas (analogous to how a human brain develops through experience); ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
AI-driven discovery depends on semantic depth and retrievable structure. Align language, taxonomy, and schema for modern search visibility.
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