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VOICE ARCHIVE

Rishi

@maharshiguin
6 posts
2023-06-14
This means that it can learn from more images in less time, and use less memory and power. It also means that it can do well on many different tasks without needing much extra training.
2023-06-14 View on X
SiliconANGLE

Meta details I-JEPA, a computer vision model that uses common sense world knowledge to create more accurate images, avoiding errors like hands with extra digits

I-JEPA is a method for self-supervised learning.  At a high level … Meta AI : Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Tweets: Rishi / @m...

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- I-JEPA is different from other AI models like diffusion models that try to do the same thing, because it does not try to fill in the missing pixels or words in the image.
2023-06-14 View on X
SiliconANGLE

Meta details I-JEPA, a computer vision model that uses common sense world knowledge to create more accurate images, avoiding errors like hands with extra digits

I-JEPA is a method for self-supervised learning.  At a high level … Meta AI : Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Tweets: Rishi / @m...

View original
This is an important step towards applying and scaling self-supervised methods for learning a general model of the world. [image]
2023-06-14 View on X
SiliconANGLE

Meta details I-JEPA, a computer vision model that uses common sense world knowledge to create more accurate images, avoiding errors like hands with extra digits

I-JEPA is a method for self-supervised learning.  At a high level … Meta AI : Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Tweets: Rishi / @m...

View original
- Its faster and more efficient than other AI models, because it does not need to process all the pixels or words in an image. It only needs to process the abstract representations, which are simpler and smaller.
2023-06-14 View on X
SiliconANGLE

Meta details I-JEPA, a computer vision model that uses common sense world knowledge to create more accurate images, avoiding errors like hands with extra digits

I-JEPA is a method for self-supervised learning.  At a high level … Meta AI : Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Tweets: Rishi / @m...

View original
For example, instead of predicting that the dog's head has two eyes, a nose, and a mouth, I-JEPA might predict that the dog's head has a shape, a color, and a texture.
2023-06-14 View on X
SiliconANGLE

Meta details I-JEPA, a computer vision model that uses common sense world knowledge to create more accurate images, avoiding errors like hands with extra digits

I-JEPA is a method for self-supervised learning.  At a high level … Meta AI : Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Tweets: Rishi / @m...

View original
Instead of filling in the pixels or words, I-JEPA predicts abstract representations that capture the meaning and concepts of the images, not the details. [image]
2023-06-14 View on X
SiliconANGLE

Meta details I-JEPA, a computer vision model that uses common sense world knowledge to create more accurate images, avoiding errors like hands with extra digits

I-JEPA is a method for self-supervised learning.  At a high level … Meta AI : Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Tweets: Rishi / @m...

View original