www.mosaicml.com

Customer Stories

Ludicrous Speed: AI consumer startup trained a language model which powers their virtual avatar platform in minutes vs. hours on MosaicML Cloud.

Radical Accuracy: A publicly traded financial services company improved its model accuracy from 70 to 95% using MosaicML Cloud.

Infinite Scale: The Stanford Center for Research on Foundation Models (CRFM) trained billion-parameter models on medical data using MosaicML Cloud.

Top Blogs

See all blogs >

Personal AI: Customer Spotlight

Training LLMs with AMD MI250 GPUs and MosaicML

MosaicML Agrees to Join Databricks to Power Generative AI for All

MPT-30B: Raising the bar for open-source foundation models

Replit: Customer Spotlight

Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs

October 12, 2023

OthersideAI: Customer Spotlight

August 24, 2023

Introducing Llama2-70B-Chat with MosaicML Inference

August 10, 2023

End-to-End Secure Evaluation of Code Generation Models

Announcing MPT-7B-8K: 8K Context Length for Document Understanding

Personal AI: Customer Spotlight

Training LLMs with AMD MI250 GPUs and MosaicML

Personal AI: Customer Spotlight

Training LLMs with AMD MI250 GPUs and MosaicML

MosaicML Agrees to Join Databricks to Power Generative AI for All

MPT-30B: Raising the bar for open-source foundation models

Replit: Customer Spotlight

Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs

Announcing MPT-7B-8K: 8K Context Length for Document Understanding

Personal AI: Customer Spotlight

Training LLMs with AMD MI250 GPUs and MosaicML

MosaicML Agrees to Join Databricks to Power Generative AI for All

MPT-30B: Raising the bar for open-source foundation models

Introducing AI2 OLMo (Open Language Model)

Massive Scale: The Stanford Center for Research on Foundation Models used MosaicML to train billion-parameter models on biomedical text.

Radical Accuracy: A publicly traded financial services company used MosaicML Cloud to boost its model accuracy from 70% to 95%.

Ludicrous Speed: PersonalAI used MosaicML to train a language model for their avatar platform in minutes - not hours.

Infinite Scale: The Stanford Center for Research on Foundation Models (CRFM) trained billion-parameter models on medical data using MosaicML Cloud.

Our team

Naveen Rao

CEO & Co-founder

Hanlin Tang

CTO & Co-founder

Michael Carbin

Founding Advisor

Julie Choi

Chief Community Officer

Jonathan Frankle

Chief Scientist

Niklas Nielsen

Head of Product

Davis Blalock

Research

Jamie Bloxham

Engineering

Kobie Crawford

Community

Shawn Flood

Head of Recruiting

Laura Florescu

Research

Jessica Forde

Research

Trusted by ML Experts