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Kolachi Films is where you can watch short dramas, short films, short movies, comedy plays, and many other videos.

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https://www.youtube.com/kolachifilms?sub_confirmation=1 Kolachi Films is where you can watch short dramas, short films, short movies, comedy plays, and many other videos. All types of contents and stories based on social, inspirational, and motivational videos. It is our humble request to all of you to please like, share, and subscribe to our YouTube channel for upcoming projects. These videos are only entertainment to watch and enjoy, no rex short this video as this is a copy right video. Thank you so much for the support. ============ THE KOLACHI FILMS INFO ============ Connect Us: Youtube:http://bit.ly/3TnqIBz Facebook:http://bit.ly/3zN02Dc Instagram:http://bit.ly/3TguCfu Twitter:http://bit.ly/3Wzx5UP TikTok:http://bit.ly/3NE0GbQ Snack video:http://bit.ly/3fzmcBS Thanks Regards.

TheMetaverseNfts is a channel with metaverses NFTs videos. If you lik, this, then this is thechannel for you. Enjoy! :) We feature videos of NFT collections that can be purchased on Opensea "NFT stands for non-fungible token, a digital token that is redee

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TheMetaverseNfts is a channel with metaverses NFTs videos. If you lik, this, then this is thechannel for you. Enjoy! :) We feature videos of NFT collections that can be purchased on Opensea "NFT stands for non-fungible token, a digital token that is redeemable for a digital piece of art". Buy any NFT digital art item and sell it for a profit. Some of our NFT Sets. #TheMetaverseNfts #nfts #digital #metaverse #web3 #crypto #currency #Opensea #Rarible #blockchain #digitalitome #multiverse.#digital #art More NFTs see click link here…(1) https://opensea.io/nft-virtual-world (2) https://rarible.com/nftsg_h/sale

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.