Text to SQL (txt2sql) using GPT-4o as LLM , SQLite DB Colab Python Demo🔥🔥

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Text-to-SQL is a task in natural language processing (NLP) where the goal is to automatically generate SQL queries from natural language text. A more academic definition is to convert natural language problems in the database field into structured query languages that can be executed in relational databases. Text-to-SQL aims to narrow the gap between database systems and non-technical users by automating the conversion of natural language queries into SQL commands. By utilizing the capabilities of large language models (LLMs), which enhances the Text-to-SQL process, thereby enhancing data processing efficiency and enabling a range of applications including automated data analysis, intelligent database services, and streamlined query responses.

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well structured, clear explanation; providing the colab was helpful and generous. Thank you, Rithesh

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Great tutorial! Can I ask how many tokens it takes for OpenAI to process each question? I am doing text2sql, but the tokens cost too much.

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