In the semiconductor industry, research and development tasks, manufacturing processes, and enterprise planning systems produce an array of data artifacts that can be fused to create an intelligent semiconductor enterprise. Through intelligent data use, an intelligent semiconductor enterprise accelerates time to market, increases manufacturing yield, and enhances product reliability.

Databricks is pleased to announce we are ranked #2 in the inaugural annual Glassdoor Award List of Best-Led Companies in 2024 ! At...

Successfully building GenAI applications means going beyond just leveraging the latest cutting-edge models. It requires the development of compound AI systems that integrate...

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...

We recently introduced DBRX : an open, state-of-the-art, general-purpose LLM. DBRX was trained, fine-tuned, and evaluated using Mosaic AI Training, scaling training to...

How we reached 79.9% on the Spider dev dataset with Llama3 8B through savvy prompting and fine-tuning on Databricks.

The annual Data Team Awards highlight how diverse enterprise data teams are tackling some of the most prevalent and complex issues facing the...

Last year, we launched foundation model support in Databricks Model Serving to enable enterprises to build secure and custom GenAI apps on a...

In December, we announced a new suite of tools to get Generative AI applications to production using Retrieval Augmented Generation (RAG). Since then...