Skip to main content
<
Page 7
>

How a Leading Venture Capital Firm is Building GenAI with Databricks

May 14, 2024 by Colton Peltier in
Successfully building GenAI applications means going beyond just leveraging the latest cutting-edge models. It requires the development of compound AI systems that integrate...

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...

Building DBRX-class Custom LLMs with Mosaic AI Training

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...

Improving Text2SQL Performance with Ease on Databricks

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

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...

Calibrating the Mosaic Evaluation Gauntlet

April 30, 2024 by Tessa Barton in
A good benchmark is one that clearly shows which models are better and which are worse. The Databricks Mosaic Research team is dedicated...

Accurate, Safe and Governed: How to Move GenAI from POC to Production

When it comes to enterprise adoption of generative AI, most organizations are in transition. While 88% of customers we've talked to say they...

How AI in Business is Revolutionized by Data Intelligence

April 17, 2024 by Min Yang in
AI is everywhere; on our cell phones, on our computers, and frequently in the headlines. But behind all the headlines, the use of...

Bringing MegaBlocks to Databricks

At Databricks, we’re committed to building the most efficient and performant training tools for large-scale AI models. With the recent release of DBRX...

DSPy on Databricks

Large language models (LLMs) have generated interest in effective human-AI interaction through optimizing prompting techniques. “Prompt engineering” is a growing methodology for tailoring...