Use cases
From research labs to production APIs, from cloud-hosted to edge devices — Polymodels adapts to wherever you need lightweight, composable model specialization.
Domain specialist agents
Train experts on legal documents, HVAC manuals, medical literature, or product catalogs. Route customer queries to the matching expert on a prompt-by-prompt basis — all running on the same model, serving multiple users concurrently.
Function calling & tool use
Use the FunctionGemma prompt format to train experts that reliably emit structured tool-call JSON. Keep the base model available for open-ended generation; route only tool-call prompts through the expert. Or use multiple experts for different tool sets or completely different domains.
Comparative evaluation
Run the same prompt through multiple experts in one batch. Different training datasets, different prompt types, different hyperparameters — results arrive side by side. No separate deployments needed.
Research & experimentation
Study targeted layer-level interventions. Share a single GPU across a team of researchers, each with their own expert slots. Compare training configurations without restarting the model or affecting colleagues.