#32 AI Series: cohere - M. Fadaee

We are excited to feature Marzieh Fadaee, who is currently Head of Cohere Labs at cohere and will discuss "Scaling LLMs Across Languages", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.

Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.

Abstract: Scaling has driven progress in language models, but improvements in peak performance often fail to translate across languages. In this talk, I show how multilingual models expose the limits of scale and highlight the importance of balanced performance. I argue for a shift from optimizing peaks to lifting the floor, through better data, design, and evaluation illustrated through Tiny Aya.

Bio: Marzieh Fadaee is the Head of Cohere Labs, where she leads research on fundamental problems in artificial intelligence. Her work spans multilingual language models, data-efficient learning, model evaluation, and trustworthy AI, with a focus on building systems that are robust, inclusive, and globally impactful. She co-leads the Aya initiative that brought together over 3,000 collaborators worldwide to create the world's largest multilingual instruction dataset and the development of a series of state-of-the-art multilingual language and vision models. Before joining Cohere Labs, Marzieh was the Research Lead at Zeta Alpha Vector, where she pioneered innovative approaches to knowledge