NOTE: This feature is in public preview. This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box. Using Databricks MLOps ...

The dbldatagen Databricks Labs project is a Python library for generating synthetic data within the Databricks environment using Spark. The generated data may be used for testing, benchmarking, demos, ...

Written by a team of industry experts at Databricks with decades of combined experience in big data, machine learning, and data science, Databricks ML in Action presents cloud-agnostic, end-to-end ...

Today, Databricks released Dolly 2.0, a text-generating AI model that can power apps like chatbots, text summarizers and basic search engines. It's the successor to the first-generation Dolly, which ...

If Databricks and Azure ML don’t fit your requirements, consider Amazon Sagemaker, an industry leader for building machine learning models, and Snowflake, a top provider of data analytics and ...

Databricks’ model could allow companies to eventually deploy their own agents to perform tasks, without data quality standing in the way. The technique offers a rare look at some of the key ...

Databricks Inc. today introduced an application programming interface that customers can use to generate synthetic data for their machine learning projects.The API is available in Mosaic AI Agent ...

While Databricks has done work to build and release its own LLM, and has data storage, management and governance tools in place, it did not have a simple way to help customers to pre-train models ...

The acquisition was expected to boost Databricks’ data governance capabilities while training and managing large language models (LLMs), such as its proprietary open source Dolly 2.0 LLM.