Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

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 ...

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

Databricks announced the Databricks Lakebase is now generally available on AWS—introducing a new class of operational database that treats infrastructure as a flexible, on-demand service. According to ...

Register once for unrestricted access to both events, allowing you to select the content that best meets your learning needs. If you’re a data professional looking to learn more about migrating and ...

Microsoft is setting about improving the PC gaming experience with renewed vigor. In a blog post published this week, the brand said it will spend the new year focusing on enhancing the features that ...

Abstract: This article presents a comprehensive analysis and application of the phase tuning (PT) technique to enhance the performance of an E-band sheet beam (SB) folded waveguide (FWG) traveling ...

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 ...