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.

Affiliated Projects

A new hue angle to measure apparent skin tone in computer vision.

Sony logo

A new hue angle - which spans the range from red to yellow - to measure apparent skin color in computer vision beyond a unidimensional scale on skin tone.

AI Education - AI for the Workforce

Intel logo

Community college education program for broad AI Education

AI Safety Leaderboard

A leaderboard to identify the most effective models for a users specific use case.

AI methods for network design

A computationally efficient AI method (drawn from optimal learning and approximate dynamic programming fields) to solve sequential knapsack problems.

AI policy recommendations

Policy pieces on AI.

AIConfig & Editor

AIConfig is a config-based framework for building generative AI applications.

Among Us

University of Notre Dame logo

A project to investigate the capabilities of base LLMs as well as evaluate their capacity to pose as human participants

Bactrian-X

A Multilingual Replicable Instruction-Following Model

Benchmarks for sensory grounding in LLMs

Benchmarks for algorithms that transcend limits and bring LLMs closer to real human-like reasoning and understanding.

BiMediX - Bilingual Medical Mixture of Experts LLM

BiMediX is the first bilingual medical mixture of experts LLM designed for seamless interaction in both English and Arabic. The model facilitates a wide range of medical interactions in English and Arabic, including multi-turn chats to inquire about additional details such as patient symptoms and medical history, multiple-choice question answering, and open-ended question answering.

Bias Detection to Care Protection

Iterative feedback mechanisms and the integration of fairness metrics into the evaluation process further amplify the potential impact of this project.

BigCode

BigCode is an open scientific collaboration working on the responsible development and use of large language models for code (Code LLMs), empowering the machine learning and open source communities through open governance.