AI generalizes well. It specializes poorly — until you give it the right human knowledge.
Codatta contributors improve AI across four layers:
→ Fine-Tuning: real-world examples that teach models to think like specialists
→ RAG: verified data that keeps AI grounded instead of hallucinating
→ Prompting: structured instructions that make outputs actually usable
→ Evaluation: human feedback that catches what benchmarks miss
Specialized AI isn't built from statistics alone. It's built from people who know their domain.