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Specialized Natural Language to SQL (NL-to-SQL) engine optimized for Indian Census dataset schemas using a fine-tuned Llama-3 model.
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CenQuery is a niche application of existing NL-to-SQL fine-tuning techniques (QLoRA on Llama-3). While focusing on the Indian Census provides a specific use case, the low star count, lack of velocity, and reliance on standard fine-tuning patterns make it easily reproducible. Furthermore, frontier models (GPT-4o, Claude 3.5) demonstrate high zero-shot performance on SQL tasks when provided with schema context, significantly reducing the need for domain-specific fine-tuned 8B models.
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