Acceleration Unlocked: DS3_v2 Instance Types on Azure now supported by Photon
At Databricks, we offer maximal flexibility for choosing compute for ETL and ML/AI workloads. Staying true to the theme of flexibility, we announce...
Enroll in our New Expert-Led Large Language Models (LLMs) Courses on edX
New Large Language Model Courses with edX As Large Language Model (LLM) applications disrupt countless industries, generative AI is becoming an important foundational...
How We Trained Stable Diffusion for Less than $50k (Part 3)
In our previous blog post, we showed how we used the MosaicML platform, Streaming datasets, and the Composer library to train a Stable...
Applying software development & DevOps best practices to Delta Live Table pipelines
Databricks Delta Live Tables (DLT) radically simplifies the development of the robust data processing pipelines by decreasing the amount of code that data...
Announcing Public Preview of Databricks Marketplace
We are excited to announce the public preview of Databricks Marketplace , an open marketplace for all your data, analytics, and AI, powered...
Benchmarking Large Language Models on NVIDIA H100 GPUs with CoreWeave (Part 1)
Benchmarking Large Language Models on NVIDIA H100 GPUs with CoreWeave The research and engineering teams here at MosaicML collaborated with CoreWeave, one of...
A data architecture pattern to maximize the value of the Lakehouse
One of Lakehouse's outstanding achievements is the ability to combine workloads for modern use cases, such as traditional BI, machine learning & AI...
Training Stable Diffusion from Scratch for <$50k with MosaicML (Part 2)
We've replicated Stable Diffusion 2 for less than $50k, and we've open-sourced the training code so you can too! This is a 3x...
Enhancing Product Search with Large Language Models (LLMs)
The text generation capabilities of ChatGPT, Dolly and the like are truly impressive and are rightfully recognized as major steps forward in the...
How Databricks enables your operating model for Data and AI: Part 1
"The bottleneck (for AI) now is in management, implementation, and business imagination, not technology." -Erik Brynjolfsson Data and AI have emerged as strategic...