信息流

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.

This release introduces two new state-of-the-art models: SAM 3D Objects for object and scene reconstruction, and SAM 3D Body for human body and shape estimation.

SAM Audio transforms audio processing by making it easy to isolate any sound from complex audio mixtures using natural, multimodal prompts — whether through text, visual cues, or marking time segments.

ANZ, one of Australia's Big Four banks, is driving engineering efficiency with Llama.

Instituto PROA, a nonprofit organization in Brazil, has transformed its job preparation process for young candidates by leveraging Llama and Oracle Cloud Infrastructure.

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.

The Universities Space Research Association and Meta are collaborating to help support water observing systems set up by the U.S. Geological Survey.

We’re introducing Meta Omnilingual Automatic Speech Recognition, a suite of models providing automatic speech recognition capabilities for over 1,600 languages.

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.

As we build more capable, personalized AI, reliability, security, and user protections are more important than ever.

Today, in partnership with the World Resources Institute, we’re announcing Canopy Height Maps v2 (CHMv2): an open source model and world-scale maps generated with it.

Meta's DINOv2 model is enhancing reforestation efforts around the world. Learn how the UK government is using DINO to help reduce costs and increase access to greenspaces.

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.

Start-ups like Conservation X Labs are using Meta’s Segment Anything Models to bolster on-the-ground conservation expertise.

Using DINOv2, the team at NASA's Jet Propulsion Laboratory built a convenient robot operating system interface for robotic tasks.

ExecuTorch, Meta’s open source, lightweight, and efficient inference engine, has been instrumental in enabling on-device AI capabilities across Meta’s family of apps.

WRI and the Bezos Earth Fund used DINOv3 to develop an algorithm to accurately count individual trees from drone and satellite imagery.

At PyTorch Conference 2025 in San Francisco, we unveiled five new projects spanning kernel languages, distributed systems, reinforcement learning, agentic frameworks, and edge AI deployment.

By leveraging advanced AI models, teams at the University of Pennsylvania are aiming to bring cutting-edge automation to emergency response.