This project is an NLP-driven system that dynamically selects the most relevant tables from a database schema based on a user's natural language (NL) query. Due to time constraints, we have integrated ...

Training: The T5 model is fine-tuned on the Spider dataset to learn the mapping from natural language queries to SQL queries.This involves processing the dataset to teach the model to generate SQL ...

XiYan-SQL employs a three-stage process to generate and refine SQL queries. First, schema linking identifies relevant database elements, reducing extraneous information and focusing on key structures.

The AI Generator is underpinned by the intricate machinery of the GPT model. By employing Natural Language Processing (NLP) algorithms, GPT deciphers user inquiries, while the ML backbone interprets ...