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.

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 ...

The Chat feature of Google AI Studio allows users to interact with Gemini models in a conversational format. This feature can make everyday tasks easier, such as planning a trip itinerary, drafting an ...

An open-source Python library for simplifying local testing of Databricks workflows using PySpark and Delta tables. This library enables seamless testing of PySpark processing logic outside Databricks ...

Founded by former OpenAI staff members and funded by Amazon and Google, Anthropic has raised the stakes in the GPT wars. Anthropic's Claude Desktop app often outshines its ChatGPT rival in various ...

Redpanda 25.2 release simplifies Iceberg adoption for enterprise users building real-time AI/ML pipelines Redpanda, the real-time data platform that powers agentic and operational applications, today ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

JPMorgan Chase & Co. (NYSE:JPM) Chairman and CEO Jamie Dimon revealed that his first encounter with Palantir Technologies Inc. (NASDAQ:PLTR) fundamentally changed the bank’s approach to artificial ...

Tired of rewinding YouTube videos repeatedly to jot down notes, missing crucial information along the way? There’s a better way! Imagine instantly accessing the complete text of any YouTube video, ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...