Our members are building the future of AI

These affiliated projects represent some of the most significant efforts behind the movement to create safe, responsible AI rooted in open innovation.

Labeling faces in image data

An innovative dataset and modeling approach to learn face attributes, sidestepping the collection of controversial semantic labels for learning face similarity.

LangBiTe

A platform for bias testing of large language models

LangCheck is an open-source toolkit that provides building blocks for developers and organizations to create evaluations, guardrails, and monitoring for their LLM applications. LangCheck supports both English and Japanese text.

MLCommons AI Safety

Industry-standard AI safety benchmarks based on AI Safety tests.

MLPerf

MLPerf is the industry standard benchmarks for ML system performance

Map of Open Source Science (MOSS)

A visualization of the intersection of open source software and scientific research.

MobiLlama

Accurate and fully transparent open-source Small Language Models (SLMs) with <1B parameters, catering to the specific needs of resource-constrained computing with an emphasis on enhanced performance with reduced resource demands.