When AI Finally Learned That “Dog” and 🐕 Are the Same Thing, aka CLIP
Author(s): DrSwarnenduAI
Originally published on Towards AI.
How CLIP used 400 million internet image-caption pairs to solve the 60-year problem of connecting vision and language by making them occupy the same 512-dimensional manifold.
Welcome back. I believe in coordinates and manifolds. If this 15-minute mathematical deep dive helps you, please leave a comment. I write these for the community, and your insights are what keep this series going.
The article delves into CLIP, a model that revolutionizes how machines understand the relationship between images and text by employing a shared mathematical language through high-dimensional manifolds, thus overcoming the limitations of traditional one-hot vector classification by capturing semantic similarity across various dimensions.
Read the full blog for free on Medium.
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