The deal positions Snowflake to compete with Databricks in AI while giving OpenAI enterprise distribution beyond Microsoft’s ecosystem.

Abstract: The Linux kernel offers nearly 20,000 configuration options, making it highly customizable but also extremely challenging to manually optimize for performance. The diversity of operating ...

Abstract: The goal of the Cross-domain Text-to-SQL task is to accurately translate natural language questions into executable SQL queries, even when applied to previously unseen databases. Recently, ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

I’m encountering difficulties setting up Sedona 1.8 on Databricks (DBR 17.3 LTS). Is it a known compatibility issue between Sedona and Databricks DBR 17.3 LTS ? I used the following jars for spark 4.0 ...

This was originally posted in dbt-databricks project and I was asked to cross post i here. Related to: databricks/dbt-databricks#1246 When running dbt in an Azure Devops Agent (for continues ...

Background: Large language model (LLM) fine tuning is the process of adjusting out-of-the-box model weights using a dataset of interest. Fine tuning can be a powerful technique to improve model ...