Using AI to decode language from the brain and advance our understanding of human communication
Building Toward a Smarter, More Personalized Assistant | Meta
Meta’s open AI hardware vision
open
Introducing Llama 3.1: Our most capable models to date
Permanent Price Drop: Bring Home a 128GB Meta Quest 2 for Just $199 | Meta Quest Blog | Meta Store
OpenEQA: From word models to world models
OpenEQA combines challenging open-vocabulary questions with the ability to answer in natural language. This results in a straightforward benchmark that demonstrates a strong understanding of the environment—and poses a considerable challenge to current foundational models. We hope this work motivates additional research into helping AI understand and communicate about the world it sees.
Our next generation Meta Training and Inference Accelerator
MTIA will be an important piece of our long-term roadmap to build and scale the most powerful and efficient infrastructure possible for Meta’s unique AI workloads.
V-JEPA: The next step toward advanced machine intelligence
Programming languages endorsed for server-side use at Meta
Yann LeCun on a vision to make AI systems learn and reason like animals and humans