Following the announcements we made last week about Retrieval Augmented Generation (RAG) , we're excited to announce major updates to Model Serving. Databricks...
Retrieval Augmented Generation (RAG) is an efficient mechanism to provide relevant data as context in Gen AI applications. Most RAG applications typically use...
MLflow helps organizations manage the ML lifecycle through the ability to track experiment metrics, parameters, and artifacts, as well as deploy models to...
Try this notebook on Databricks Intel recently released its BigDL project for distributed deep learning on Apache Spark. BigDL has native Spark integration...