SAN FRANCISCO, March 7, 2023 /CNW/ -- Databricks, the lakehouse company, today announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively ...

In this repository we will see how to deploy real-time models connecting the Workspaces of Azure Databricks and Azure Machine Learning in a secure way. As an example, we will use an already-trained ...

The Databricks service is designed to streamline the process of starting and running large-scale big data analytics and machine learning workloads. Close Latest News ...

With Databricks Model Serving, the San Francisco vendor promises to scale the underlying infrastructure as needed to account for ML workload demands. That eliminates the need to pay operational staff ...

Databricks says DBRX, its latest open-source LLM, outperforms its open-source competitors, potentially offering enterprises a low-cost way to train it on their own data for generative AI use cases.

May 9, 2024 — Databricks recently announced the general availability of Vector Search and major updates to Model Serving that make it easy for enterprises to build high-quality RAG applications with ...

The Delta Lake updates aim at helping data professionals create generative AI capabilities for their enterprise with foundation models from MosaicML and Hugging Face, among others.

Databricks today introduced its AutoML Toolkit, an automated end-to-end machine learning service made to accommodate developers with a range of experience.. Available from Databricks Labs, the ...

Microsoft which, in partnership with Databricks, offers a first-party implementation of the company's service, dubbed Azure Databricks, on its Azure cloud, seems especially bullish on Databricks.