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. Image CaptionThe 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. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI