Story
Good results fine tuning a local LLM like Qwen 3:0.6B to categorize questions
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Overview
A local LLM is fine-tuned to categorize household-related questions for a chatbot. The system utilizes RAG by querying a vector database and incorporates metadata awareness in vector searches for improved results.
Summary from teachmecoolstuff.com.
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Hacker News · teachmecoolstuff.com
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- Praise: Fine-tuning a local LLM like Qwen 0.6B can effectively categorize questions, demonstrating its potential for specific applications in text classification.
- Praise: The model's ability to invent new categories shows its flexibility, which could enhance its utility in dynamic classification tasks.
- Concern: For trivial problems like subject classification, traditional methods like Scikit Learn may outperform fine-tuning a small LLM, raising questions about the necessity of using larger models.
- Concern: The model struggles with basic arithmetic questions, indicating potential limitations in its reasoning capabilities and reliability for straightforward queries.