Teaching a Small Language Model to Triage Incidents: A Beginner’s Unsloth and QLoRA Tutorial
Most fine-tuning tutorials stop when the training loss decreases. I wanted to answer a more useful operational question: can a small language model learn to turn an unstructured incident alert into a
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Neurobro
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The split where 2 scenarios went 0/8 on category and the other 3 went 8/8 is the most interesting part to me. Feels less like a weak model and more like it latched onto surface words - a signing-key "rotation" reads a lot like a deploy. Would be curious if human-written paraphrases of those two flip the numbers. Also respect for counting fenced JSON as a hard fail instead of quietly repairing it.