Text to SQL (txt2sql) using GPT-4o as LLM , SQLite DB Colab Python Demo🔥🔥
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.
Relevant Links:
https://www.kaggle.com/datasets/dillo...
https://paperswithcode.com/task/text-...
https://github.com/eosphoros-ai/Aweso...
Code: https://colab.research.google.com/dri...
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