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Exploring Generative AI in SQL Generation at Snowflake
Generative AI in SQL generation at Snowflake leverages good names for columns, additional metadata on tables, and contextual information like the distribution of values in columns and previous queries to aid in generating SQL. By combining state-of-the-art models such as llama2 or Mistral and fine-tuning them with customer-specific information without mixing data, Snowflake enhances SQL generation capabilities. The co-pilot experience in Snowflake allows users to input English queries, which are then automatically converted into SQL for execution. Snowflake is also developing an API for a programmatic version of co-pilot to enable users to build applications that can generate and execute SQL queries based on user questions, emphasizing the importance of software engineering to provide the right context for the AI models to excel.