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.

Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...

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

Rahul Naskar has years of experience writing news and features related to Android, phones, and apps. Outside the tech world, he follows global events and developments shaping the world of geopolitics.

Google’s NotebookLM is a powerful AI research assistant with many applications for educators. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

NotebookLM has quietly become one of my favorite AI tools for education. I included it in my list of top educational AI tools for 2025, and with the features Google keeps adding, it’s becoming a ...

When executed in a Databricks Notebook, dlt uses the notebook context for configuration if not explicitly provided. My interpretation of this is that it will use the hostname and HTTP path of the ...

The screen displays the inscription ''NotebookLM'' during a meeting between Alphabet and Google CEO Sundar Pichai and Polish Prime Minister Donald Tusk at Google for Startups in Warsaw, Poland, on ...