Mosaic AI: Build and deploy production-quality Compound AI Systems
Over the last year, we have seen a surge of commercial and open-source foundation models showing strong reasoning abilities on general knowledge tasks...
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Databricks Named a Leader in The Forrester Wave™: AI Foundation Models for Language, Q2 2024
We are excited to announce that Forrester has recognized Databricks as a Leader in The Forrester Wave™: AI Foundation Models for Language, Q2...
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...
Fine-Grained Human Feedback
(This post written in collaboration with Zeqiu (Ellen) Wu and Yushi Hu , both PhD students affiliated with the University of Washington, and...
LIMIT: Less is More for Instruction Tuning
How should you finetune a large language model for general-purpose question answering? One intriguing approach is that of supervised finetuning on a small...
US Air Force Hackathon: How Large Language Models Will Revolutionize USAF Flight Test
[DISTRIBUTION STATEMENT A. Approved for public release; Distribution is unlimited 412TW-PA-24004] The views expressed are those of the author and do not reflect...
OLMo is Here, Powered by Databricks
As Chief Scientist (Neural Networks) at Databricks, I lead our research team toward the goal of giving everyone the ability to build and...
Serving Quantized LLMs on NVIDIA H100 Tensor Core GPUs
Quantization is a technique for making machine learning models smaller and faster. We quantize Llama2-70B-Chat, producing an equivalent-quality model that generates 2.2x more...
Building and Customizing GenAI with Databricks: LLMs and Beyond
Generative AI has opened new worlds of possibilities for businesses and is being emphatically embraced across organizations. According to a recent MIT Tech...
