🌱Very proud of our team's latest release 😊 meet Tiny Aya, a massively multilingual model with 3.35B parameters.
Tech report here: github.com/Cohere-Labs/...
What if the way we verify synthetic code is limiting model performance?
In our latest work we uncover the Verification Ceiling Problem: strict “all tests must pass” rules throw away useful data, while weak tests let errors through.
Introducing ✨Tiny Aya✨, a family of massively multilingual small language models built to run where people actually are.
Tiny Aya delivers strong multilingual performance in 70+ global languages in a 3.35B parameter model, efficient enough to run locally, even on a phone.
While effective for chess♟️, Elo ratings struggle with LLM evaluation due to volatility and transitivity issues.
New post in collaboration with AI Singapore explores why Elo falls short for AI leaderboards and how we can do better.
Video
github.com
Introducing ✨Tiny Aya✨, a family of massively multilingual small language models built to run where people actually are.
Tiny Aya delivers strong multilingual performance in 70+ global languages in a 3.35B parameter model, efficient enough to run locally, even on a phone.
Video
Cohere Labs
Cohere Labs
Cohere Labs
Cohere Labs
I'm excited to share that I'll be stepping into the role of Head of @cohereforai.bsky.social. It's an honor and a responsibility to lead such an extraordinary group of researchers pushing the boundaries of AI research.
Over the years, I've watched scholars go from their very first project → to their first paper → to research careers they once thought were out of reach.
It’s been incredible to see what can happen when someone gets their first real chance and works hard to make it count 🏅
At its core, @cohereforai.bsky.social is about advancing open science, exploring fundamental research questions, and sharing knowledge broadly
always guided by the pleasure of finding things out.
Excited for what’s next!
