Open Science Initiative
Open Science Initiative
Our open science research community is a space where researchers, engineers, linguists, social scientists, and lifelong learners connect and collaborate with each other. We come together from over 130 countries around the world and support large and small-scale research collaborations.
About the community
Since launching this initiative, we’ve been led by the interests of our collaborators. Whether you're a beginner exploring ML, interested in learning about AI for social good, or looking to make connections with researchers around the globe, we offer opportunities to learn, collaborate, and contribute to open science.
The strength of our open science community lies in its diversity and reach. With members spanning the globe and a wide range of programs and events, we're creating a dynamic ecosystem where ideas flourish and breakthroughs are born. Join us in shaping the future of machine learning.
The strength of our open science community lies in its diversity and reach. With members spanning the globe and a wide range of programs and events, we're creating a dynamic ecosystem where ideas flourish and breakthroughs are born. Join us in shaping the future of machine learning.
3,500+
Open Science Community Members
130+
Countries Represented Among Members
425+
Virtual Events Hosted
13
Distinct Community-Led Programs
Guest Speaker Series
Community-Led Events
Our dedicated community leads are essential to the impact of our open science initiative. They have organized and hosted over 150 guest speakers across various machine learning fields, including Large Language Models (LLMs), Computer Vision, Reinforcement Learning, Natural Language Processing (NLP), and more.
Roads to Research
Let’s demystify what it means to be an ML researcher. In this event series, we host candid conversations about everything it takes to pursue this field independently, or as part of an academic institution or lab. We aim to spark new ideas, inspire research connections, and support one another in navigating the field of research.
Community-Led Events
Our dedicated community leads are essential to the impact of our open science initiative. They have organized and hosted over 150 guest speakers across various machine learning fields, including Large Language Models (LLMs), Computer Vision, Reinforcement Learning, Natural Language Processing (NLP), and more.
Roads to Research
Let’s demystify what it means to be an ML researcher. In this event series, we host candid conversations about everything it takes to pursue this field independently, or as part of an academic institution or lab. We aim to spark new ideas, inspire research connections, and support one another in navigating the field of research.
Global connections
Worldwide Community of Researchers
Our open science community brings together researchers, engineers, and learners from over 130 countries, fostering a truly global network for collaboration. By connecting across borders, we support diverse perspectives and drive innovation in machine learning research.
Diverse ML Programs
Community-led ML Programs
Our open science community is driven by dedicated leads who run 13 diverse programs, fostering collaboration across machine learning fields. From beginner-friendly initiatives to specialized research tracks, our programs create opportunities for learning, mentorship, and innovation.
Research Affiliation
Publishing as a Cohere Labs Community Researcher
Publishing is a massive achievement, made all the more impressive when accomplished without the backing of a formal lab or institution. To support and celebrate community members as they pursue their research goals, we invite all members to publish with the affiliation “ Cohere Labs Community”.
Research in Collaboration with our Open Science Community
We believe groundbreaking discoveries thrive in open collaboration. The work featured here represents just a small sample of the research born from partnerships within our open science community.
MemoryCode
Evaluating LLMs in Multi-Session Coding Interactions
M-RewardBench
Evaluating Reward Models in Multilingual Settings
INCLUDE
A multilingual benchmark capturing in-language nuances & cultural context
Featured Videos
Celebrating ML Research Across Asia
Regional lead for Asia, Ahmad Anis, has hosted over 50 ML Research talks.
Your Journey Into Research
Head of Cohere Labs, Sara Hooker, shares her research lessons to live by.
Supporting Research Connections
Esra'a Saleh, Ujan Deb & Ruchira Dhar on leading Research Connections.
Cohere Labs
Cohere Labs is Cohere's research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research.