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Engineering blog

Building Enterprise GenAI Apps with Meta Llama 3 on Databricks

We are excited to partner with Meta to release the latest state-of-the-art large language model, Meta Llama 3 , on Databricks. With Llama...
Engineering blog

Introducing Mixtral 8x7B with Databricks Model Serving

Today, Databricks is excited to announce support for Mixtral 8x7B in Model Serving . Mixtral 8x7B is a sparse Mixture of Experts (MoE)...
Engineering blog

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...
Engineering blog

Llama 2 Foundation Models Available in Databricks Lakehouse AI

We’re excited to announce that Meta AI’s Llama 2 foundation chat models are available in the Databricks Marketplace for you to fine-tune and...
Platform blog

Announcing Inference Tables: Simplified Monitoring and Diagnostics for AI models

Have you ever deployed an AI model, only to discover it's delivering unexpected results in a real-world setting? Monitoring models is as crucial...
Engineering blog

Deploy Private LLMs using Databricks Model Serving

We are excited to announce public preview of GPU and LLM optimization support for Databricks Model Serving! With this launch, you can deploy...
Platform blog

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...
Platform blog

Announcing Availability of MLflow 2.0

MLflow , with over 13 million monthly downloads, has become the standard platform for end-to-end MLOps, enabling teams of all sizes to track...
Engineering blog

Introducing MLflow Pipelines with MLflow 2.0

Since we launched MLflow in 2018, MLflow has become the most popular MLOps framework, with over 11M monthly downloads! Today, teams of all...
Engineering blog

Automate Your Data and ML Workflows With GitHub Actions for Databricks

As demand for data and machine learning (ML) applications grows, businesses are adopting continuous integration and deployment practices to ensure they can deploy...
Platform blog

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...