Build GenAI Apps Faster with New Foundation Model Capabilities
Following the announcements we made last week about Retrieval Augmented Generation (RAG) , we're excited to announce major updates to Model Serving. Databricks...
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Improve your RAG application response quality with real-time structured data
Retrieval Augmented Generation (RAG) is an efficient mechanism to provide relevant data as context in Gen AI applications. Most RAG applications typically use...
Announcing General Availability of Databricks Model Serving
ML Virtual Event Enabling Production ML at Scale With Lakehouse March 14, 9 AM PDT / 4 PM GMT Register Now We are...
Streamline MLOps With MLflow Model Registry Webhooks
As machine learning becomes more widely adopted, businesses need to deploy models at speed and scale to achieve maximum value. Today, we are...
MLflow Model Registry on Databricks Simplifies MLOps With CI/CD Features
MLflow helps organizations manage the ML lifecycle through the ability to track experiment metrics, parameters, and artifacts, as well as deploy models to...
Databricks Extends MLflow Model Registry with Enterprise Features
We are excited to announce new enterprise grade features for the MLflow Model Registry on Databricks. The Model Registry is now enabled by...
MLflow v0.9.0 Features SQL Backend, Projects in Docker, and Customization in Python Models
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...
Build, Scale, and Deploy Deep Learning Pipelines with Ease
At the Spark Summit in San Francisco in June , we announced an open-source project Deep Learning Pipelines . Deep Learning Pipelines provides...
A Vision for Making Deep Learning Simple
Try this notebook on Databricks When MapReduce was introduced 15 years ago, it showed the world a glimpse into the future. For the...
Intel’s BigDL on Databricks
Try this notebook on Databricks Intel recently released its BigDL project for distributed deep learning on Apache Spark. BigDL has native Spark integration...