Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Resilinc, the leading provider of agentic AI-driven supply chain risk and compliance intelligence, today announced it has architected its platform on the Databricks Platform to power large-scale, ...
Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...
Add Yahoo as a preferred source to see more of our stories on Google. Ali Ghodsi, co-founder and chief executive officer of Databricks Inc., speaks during a Bloomberg Technology television interview ...
Databricks, the lakehouse company, is launching Databricks Model Serving, a solution aiming to streamline the management and scaling of production machine learning (ML) within the Databricks Lakehouse ...
CGI (NYSE: GIB) (TSX: GIB.A), one of the largest independent IT and business consulting services firms in the world, today announced it has achieved Gold tier status in the Databricks Brickbuilder ...
Add Yahoo as a preferred source to see more of our stories on Google. The march toward an open source ChatGPT-like AI continues. Today, Databricks released Dolly 2.0, a text-generating AI model that ...
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 ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Databricks and Hugging Face have collaborated to introduce a new feature ...
April 12 (Reuters) - Databricks, a San Francisco-based startup last valued at $38 billion, released a trove of data on Wednesday that it says businesses and researchers can use to train chatbots ...
On Wednesday, Databricks released Dolly 2.0, reportedly the first open source, instruction-following large language model (LLM) for commercial use that has been fine-tuned on a human-generated data ...
If you wanted to raise the profile of your major tech company and had $10 million to spend, how would you spend it? On a Super Bowl ad? An F1 sponsorship? You could spend it training a generative AI ...