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Users can generate videos up to 1080p resolution, up to 20 sec long, and in widescreen, vertical or square aspect ratios. You can bring your own assets to extend, remix, and blend, or generate entirely new content from text.

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We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar models learn. Fifteen years ago, Quiroga et al.1 discovered that the human brain possesses multimodal neurons. These neurons respond to clusters of abstract concepts centered around a common high-level theme, rather than any specific visual feature. The most famous of these was the “Halle Berry” neuron, a neuron featured in both Scientific American⁠(opens in a new window) and The New York Times⁠(opens in a new window), that responds to photographs, sketches, and the text “Halle Berry” (but not other names). Two months ago, OpenAI announced CLIP⁠, a general-purpose vision system that matches the performance of a ResNet-50,2 but outperforms existing vision systems on some of the most challenging datasets. Each of these challenge datasets, ObjectNet, ImageNet Rendition, and ImageNet Sketch, stress tests the model’s robustness to not recognizing not just simple distortions or changes in lighting or pose, but also to complete abstraction and reconstruction—sketches, cartoons, and even statues of the objects. Now, we’re releasing our discovery of the presence of multimodal neurons in CLIP. One such neuron, for example, is a “Spider-Man” neuron (bearing a remarkable resemblance to the “Halle Berry” neuron) that responds to an image of a spider, an image of the text “spider,” and the comic book character “Spider-Man” either in costume or illustrated. Our discovery of multimodal neurons in CLIP gives us a clue as to what may be a common mechanism of both synthetic and natural vision systems—abstraction. We discover that the highest layers of CLIP organize images as a loose semantic collection of ideas, providing a simple explanation for both the model’s versatility and the representation’s compactness.

AI Generator Shorts videos

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🌟 Welcome to AI Generator Shorts! 🌟 Dive into the fascinating world of artificial intelligence with our quick, engaging videos! Each short is packed with insightful tips, creative uses, and the latest trends in AI technology. Whether you're a tech enthusiast, a curious learner, or just looking for some inspiration, you'll find something to spark your interest! 🔍 What We Offer: AI Tools & Tips: Learn how to harness the power of AI in your daily life. Creative Showcases: Discover amazing projects and innovations powered by AI. Trends & Updates: Stay informed about the latest developments in the AI landscape. Join our community and unlock the potential of AI—one short at a time! Don’t forget to subscribe and hit the notification bell for your daily dose of AI insights!

Advanced Regenerative Detox Coach, Iridologist & Quantum Healing Hypnotherapist

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Here you will find videos on how to get YOURSELF better thru diet, exercise and right living. I will also be hosting interviews with friends and other interesting folks who are experts in their field and want to share with you ALL things related to true HEALTH and VITALITY. I am an Advanced Regenerative Detoxification Specialist, Lymphatic Iridologist and Quantum Healing Hypnotherapist. I received my trainings from the World's BEST in the field, namely Dr. Robert Morse, N.D., D.Sc., & Dolores Cannon. I'm still on the path of healing, as true Regenerative Detoxification takes years, but my true calling is helping others along the way to clear the obstructions to the flow of energy in order to live free of aches, pains, depression and all the ailments that seem to plague humanity. I am a natural healer. I am a mother to three amazing souls. I am a yogi. I am a vessel in service to YOU. STAY TUNED!