By integrating Quotient’s evaluation and reinforcement‑learning tech, Databricks hopes to address a growing CIO challenge: ...

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

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

Databricks Inc. today announced several enhancements to its Mosaic AI toolset for building and deploying artificial intelligence models that specifically target generative AI applications. The ...

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 ...

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...

Mindtree, a leading digital transformation and technology services company, is partnering with Databricks, the data and AI company, to help customers implement cloud-based data platforms for advanced ...

PHILADELPHIA, June 11, 2024 (GLOBE NEWSWIRE) -- Qlik®, a global leader in data integration, analytics, and artificial intelligence (AI), today announced a new strategic integration with Databricks AI ...

In this session of our Azure Databricks Training series, we’ll teach you how to connect directly to data sources like TCP/IP sockets and the Kafka messaging system, transform and output data, and ...