Good results fine tuning a local LLM like Qwen 3:0.6B to categorize questions
SMRTR summary
A developer built a home chatbot using RAG and fine-tuned the tiny Qwen 3:0.6B model to categorize household questions. The baseline model scored just 10% accuracy, but after two rounds of fine-tuning — including switching to two-letter category codes — accuracy jumped to 92%.
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