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

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 ...

TEL AVIV, Israel--(BUSINESS WIRE)--Intel® Granulate™, Intel’s flagship software performance offering, today announced a new collaboration with Databricks to merge Intel Granulate’s autonomous, ...

Sedai, the autonomous cloud management company, today announced the general availability of its Databricks Optimization solution. The new offering enables cloud and data teams to reduce wasted costs, ...

Data analytics software maker Databricks said in a statement on Tuesday that it's acquiring Tabular, a startup that helps optimize data stored in the cloud. The gesture could help Databricks more ...

As data sources and volumes grow, and as a data-driven orientation is increasingly deemed to be a competitive necessity, the war between platform vendors to provide the primary repository for our data ...

Agent Bricks uses technology developed by MosaicML’s research division to optimize the agent development process and help control the cost of running agents. Databricks has released a beta version of ...

Hello and welcome to Eye on AI. In this edition…Nvidia snags the team and tech from AI chip startup Groq…Meta buys Manus AI…AI gets better at improving AI…but we might not know enough about the brain ...