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August 14, 2025
DINOv3 scales self-supervised learning for images to create universal vision backbones that achieve absolute state-of-the-art performance across diverse domains, including web and satellite imagery.
Using DINOv2, the team at NASA's Jet Propulsion Laboratory built a convenient robot operating system interface for robotic tasks.
WRI and the Bezos Earth Fund used DINOv3 to develop an algorithm to accurately count individual trees from drone and satellite imagery.
August 07, 2025
Brazil, the biotech company Biofy Technologies has developed a groundbreaking platform using Llama that reduces diagnostic time for antibiotic resistance from five days to less than four hours.
July 31, 2025
Upwork, one of the world’s largest work marketplaces, is using Llama to power Uma, its mindful AI, to help freelancers land jobs faster and more confidently.
July 21, 2025
We're joining forces with Amazon Web Services to announce a new program that will provide resources and support to 30 promising startups in the U.S. that are building with Llama.
June 27, 2025
We explore dyadic motion modeling and its potential to transform the way we interact with AI systems, enabling more nuanced, expressive, and human-like interactions.
June 18, 2025
ANZ, one of Australia's Big Four banks, is driving engineering efficiency with Llama.
June 04, 2025
Today, we’re excited to share more about the technology inside Aria Gen 2. This includes an in-depth overview of the form factor, audio capabilities, battery life, upgraded cameras and sensors, on-device compute, and more.
June 17, 2025
At Meta, we believe in the potential of early-stage startups to drive innovation in the generative AI market, and through the Llama Startup Program, we aim to lower the barrier to entry for getting started with Llama models.
June 11, 2025
We’re excited to share V-JEPA 2, the first world model trained on video that enables state-of-the-art understanding and prediction, as well as zero-shot planning and robot control in new environments.
May 14, 2025
Meta FAIR is sharing new research artifacts that highlight our commitment to advanced machine intelligence (AMI) through focused scientific and academic progress.
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