#training

Library

AI Data Supply Chain

AI data is not one pile of files but a supply chain: from sources and rights through cleaning and provenance to continuous audit. The open web remains important, but high-quality, usable data is increasingly constrained, contested, and expensive to govern.

Library

Fine-tuning — a scalpel, not a universal hammer

Fine-tuning changes model weights. It is powerful when you have data, evals and a clear reason. It is an expensive mistake when it hides a bad prompt, missing RAG or an unclear process.