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Source channel @githubtrending · Post #15365 · Dec 24

#jupyter_notebook DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images. https://github.com/facebookresearch/dinov3

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AI & Law

@ai_and_law · Post #132 · 10/06/2023, 07:04 AM

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Navigating AI Worries: Insights from the FTC Hello, dear subsribers! The U.S. Federal Trade Commission's Office of Technology has addressed consumers' growing concerns about artificial intelligence in a recent blog post. These concerns encompass the entire AI lifecycle, from its construction to its real-world use by third parties. Key issues highlighted include the extensive data collection necessary for training AI models and various aspects of users' interactions with AI systems. #AIandLaw#AIConcerns#FTC#ArtificialIntelligence

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