Tag: vision-language-models
All the articles with the tag "vision-language-models".
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From AlexNet to World Models: The Evolution of Multi-Modal Neural Networks
A ground-up tour of how neural networks learned to see, then to see-and-read, and finally to imagine. From AlexNet and CNNs, through CLIP and the vision-language models behind GPT-4V, to world models like Dreamer, V-JEPA 2, and LeWorldModel — with architectures, math, and benchmark numbers along the way.