#next-token-prediction

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fromNature
2 days ago

Multimodal learning with next-token prediction for large multimodal models - Nature

Since AlexNet5, deep learning has replaced heuristic hand-crafted features by unifying feature learning with deep neural networks. Later, Transformers6 and GPT-3 (ref. 1) further advanced sequence learning at scale, unifying structured tasks such as natural language processing. However, multimodal learning, spanning modalities such as images, video and text, has remained fragmented, relying on separate diffusion-based generation or compositional vision-language pipelines with many hand-crafted designs.
Artificial intelligence
Artificial intelligence
fromNature
2 months ago

What is the future of intelligence? The answer could lie in the story of its evolution

Scaled next-token predictors evolved into large language models that can understand concepts, generate humor, write and debug code, and produce fluent, intelligent responses.
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