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November 10, 2025
We’re introducing Meta Omnilingual Automatic Speech Recognition, a suite of models providing automatic speech recognition capabilities for over 1,600 languages.
October 31, 2025
We've developed the Agents Rule of Two. When this framework is followed, the severity of security risks is deterministically reduced.
May 01, 2019
We are open-sourcing BoTorch and Ax, two new tools that leverage adaptive experimentation to efficiently tackle optimization challenges in tuning software configurations, machine learning hyperparameters, ranking systems, and more.
October 24, 2025
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.
August 05, 2024
We’re excited to begin accepting applications for the Llama 3.1 Impact Grants, the next iteration of a larger portfolio of work to support organizations as they pursue their ideas for how Llama can be used to address social challenges in their communities.
September 25, 2024
With the rapidly evolving AI landscape, we recognize the importance of sharing our responsibility and safety approach with everyone.
Today, we’re releasing Llama 3.2, which includes small and medium-sized vision LLMs, and lightweight, text-only models that fit onto edge and mobile devices.
April 29, 2025
Today, we’re releasing new Llama protection tools for the open source AI community.
August 27, 2025
Instituto PROA, a nonprofit organization in Brazil, has transformed its job preparation process for young candidates by leveraging Llama and Oracle Cloud Infrastructure.
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.
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