Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning ...

With seamless integrations with Databricks Model Serving, developers can improve the response from models by adding query filters to the search. Fine-tuning in AutoML: Databricks AutoML introduces ...

Databricks Model Serving offers fully managed, production ML capabilities built natively within the Databricks Lakehouse Platform SAN FRANCISCO, March 7, 2023 /PRNewswire/ -- Databricks ...

Customers can privately host DBRX using Databricks’ Model Serving offering, Rao suggested, or they can work with Databricks to deploy DBRX on the hardware of their choosing. Rao added ...

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 ...

Additionally, Databricks customers can serve ImageAI with Mosaic AI Model Serving to easily integrate the model with their existing enterprise-wide data governance policies. "Shutterstock is ...

such as retrieval augmented generation (RAG), for customizing the LLM via Databricks’ Mosaic AI Model Serving offering. Mosaic AI Model Serving connects to DBRX via what the company calls ...

today announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the ...