Research Survey: Productivity benefits from Databricks Assistant
In the fast-paced landscape of data science and engineering, integrating Artificial Intelligence (AI) has become integral for enhancing productivity. We’ve seen many tools...
Accelerate GenAI App Development with New Updates to Databricks Model Serving
Last year, we launched foundation model support in Databricks Model Serving to enable enterprises to build secure and custom GenAI apps on a...
Production-Quality RAG Applications with Databricks
In December, we announced a new suite of tools to get Generative AI applications to production using Retrieval Augmented Generation (RAG). Since then...
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...
Accelerated DBRX Inference on Mosaic AI Model Serving
Introduction In this blog post we dive into inference with DBRX, the open state-of-the-art large language model (LLM) created by Databricks (see Introducing...
Announcing General Availability of Ray on Databricks
We released Ray support public preview last year and since then, hundreds of Databricks customers have been using it for variety of use...
Data Exfiltration Protection with Azure Databricks
Last updated on: August 23, 2024 In the previous blog , we discussed how to securely access Azure Data Services from Azure Databricks...
Implementing LLM Guardrails for Safe and Responsible Generative AI Deployment on Databricks
Introduction Let’s explore a common scenario – your team is eager to leverage open source LLMs to build chatbots for customer support interactions...
Announcing the General Availability of Databricks Feature Serving
Today, we are excited to announce the general availability of Feature Serving. Features play a pivotal role in AI Applications, typically requiring considerable...
Offline LLM Evaluation: Step-by-Step GenAI Application Assessment on Databricks
Background In an era where Retrieval-Augmented Generation (RAG) is revolutionizing the way we interact with AI-driven applications, ensuring the efficiency and effectiveness of...