Think small, ship big. In this post we benchmark our distilled SLMs against a strong teacher across classification, extraction, QA (open + closed), and tool-calling. The punchline: trained students crush baselines and match or beat the teacher accuracy.

Distil labs turns a prompt and a few dozen examples into a small accurate expert agent. Our platform automates data generation, curation, fine-tuning, and evaluation—so you can reach LLM-level results with models 50–400× smaller, deployable almost anywhere, in hours.