Model fine-tuning
Useful when a team needs a model to follow domain terminology, task structure, and citation habits that match real industry text.
Built for AI training and knowledge systems
The same dataset can support different workflows. This page is organized around what teams actually need to do, not only around product labels.
Model fine-tuning · RAG / knowledge systems · Evaluation / validation · Typical teams
RAG / knowledge systems
Useful when public regulatory or professional text needs to enter a retrieval system with stable chunking, source links, and grounding.
Evaluation / validation
Useful when teams need repeatable checks on model quality by pairing prompts, expected outputs, and cited evidence.
Typical teams
Common users include AI startups, internal AI or knowledge teams, and research groups exploring specific vertical workflows.