Developer Builds Natural Language to SQL Tool Using Fine-Tuned T5 Model

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A developer has built a small but complete text-to-SQL pipeline that lets users query a SQLite database using plain English questions. The system uses mrm8488/t5-base-finetuned-wikiSQL, a T5 model hosted on Hugging Face, to translate natural language into SQL queries. Because the model was trained on WikiSQL, it produces generic table names and occasionally malformed aggregation functions, requiring a post-processing layer to fix syntax, rename tables, and normalize column names. A read-only execution mode and strict SELECT-only validation were added to prevent destructive queries such as DROP TABLE. The project serves as a practical demonstration of how AI models can bridge the gap between business users and structured data, despite requiring careful output sanitization.

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Insufficient source content to generate a reliable summary

The provided article text contains no substantive information beyond a GitHub repository link and brief description. No verifiable facts about OLAP, OLTP, or DuckDB were present in the supplied content. A meaningful and accurate summary cannot be written without fabricating details. Please provide the full article text for proper summarisation.

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