New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.

If the synthesized SQL query is applied to another, potentially larger, database with a similar schema, the synthesized SQL query produces a corresponding result that is similar to the example output.

Today, AI trained on SQL queries and rules can be used to help write SQL more efficiently, hiding the complexity behind modern user interfaces.

Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data.

Spread the loveSQL (Structured Query Language) is a powerful programming language that allows you to interact with databases and perform various operations such as creating, querying, updating, and ...

Want faster SQL queries? Here are nine best practices for writing SQL queries that work like a charm (or at least, like they should).

Defog.ai has released SQLCoder, a cutting-edge model for translating inquiries in natural language into database queries. Regarding generic SQL schemas in Postgres, SQLCoder greatly beats all major ...