4min snip

DataFramed cover image

[AI and the Modern Data Stack] #183 Adding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake

DataFramed

NOTE

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.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode