Text to SQL Transformer Model
The emergence of ChatGPT has ushered in a new era in Artificial Intelligence. This project focuses on learning and constructing a Text-to-SQL model utilizing the Transformer architecture. This powerful deep learning model has gained recognition for its exceptional performance in various natural language processing tasks. The objective is to develop a PyTorch-based model that can comprehend natural language and generate SQL queries. To accomplish this, Andrej Karpathy's tutorial and base code were employed as valuable resources for project development.
Tools Used
Python
Category
Generative Artificial Intelligence
Date
May 18, 2023
Challenge
SQL plays a crucial role in data-driven businesses, but mastering it can be challenging for many individuals. What if there was a solution that allowed users to write SQL queries using natural language, enabling them to easily retrieve the data?
Solution
Develop a Text-to-SQL model using Transformer architecture to generate relevant SQL queries based on user prompts. Due to limited resources, an 11M-parameter model was trained for 1500 steps over 24 hours, achieving a checkpoint loss of 4.26. Further resource allocation can optimize the model for improved coherence in generating responses.
