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 ...