We are committed to making meaningful progress in machine learning research through open collaboration. Follow this 🧵to stay on top of our research contributions.
Our Open Science Community is excited to share our events for next week, November 9 -14! Check out the upcoming sessions:
📆 Kernel Autoresearch for Open-Ended Model Discovery with @richardcsuwandi: luma.com/8po3irq5
📆 Context Language Models with @RulinShao:
Tomorrow we are hosting a research recap for our CulturalRiddles project.
Hope you can tune in to learn about the genesis of this work, collaboration across 150+ people, research findings, and potential future directions.
luma.com/k0uqq8iq
Tune in on November 5th to learn about the CulturalRiddles project and how this benchmark of 6,200 community-written riddles across 51 languages, spanning 45 countries was created to evaluate whether AI models can reason about the cultural context behind a question! 🧩
Join some
Curious about transforming AI models efficiently? ⚡
Anupam Nayak explores how model architecture can be changed late in training rather than remaining fixed after pretraining, catch the full talk: youtu.be/CtfjZ75Kyok
How can multi-agent systems boost efficiency while cutting costs? 🤔
@keenansamway, Research Scholar at Cohere Labs explores a novel approach to team construction in agent, resulting in a 70% cost reduction.
Watch the full session: youtu.be/kkTKk2cZ3y0
Learn more in the