Beam agent fine-tunes a decision model: 4.7%→76.3% accuracy, 11.9× faster

ben_burtenshaw · x · 2026-10-16

Demo 3 in the Beam series: the agent was asked to "fine-tune a decision model for my codebase." It built a synthetic incident-triage dataset and fine-tuned Qwen3.5-0.8B with Unsloth, boosting exact-match from 4.7% to 76.3% and cutting per-ticket latency from 1,218ms to 103ms (11.9× faster).

A striking showcase of using a large agent for data engineering while a small model handles production inference — a practical cost-optimization pattern.

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Beam agent fine-tunes a decision model: 4.7%→76.3% accuracy, 11.9× faster

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