Add SQL Querying to your toolkit in 2024. In this part 1 of 2-part series, explore the complexity of converting natural language into SQL queries by examining table schemas.
Create table schemas to translate into SQL by concatenating 2 different strings.
The key to success with SQL is a lot of experimentation. Experiment with a wide range of text to SQL models (including our own SLIM SQL model) made easy by LLMWare’s abstraction layer so you can easily work across different data stores like Postgres, SQLite and Mongo.
Please subscribe for more content.
Also check us out on our open source library on Github and leave a star ⭐️! [ Ссылка ]
Check out our models on Hugging Face: [ Ссылка ]
Join our discord community: [ Ссылка ]
