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Tokenization is just a special case of "chunking" - building low-level data into high-level abstractions - which is in turn fundamental to intelligence.
Our new architecture, which enables hierarchical *dynamic chunking*, is not only tokenizer-free, but simply scales better.
12.7. klo 00.06
Tokenization has been the final barrier to truly end-to-end language models.
We developed the H-Net: a hierarchical network that replaces tokenization with a dynamic chunking process directly inside the model, automatically discovering and operating over meaningful units of data
This was an incredibly important project to me - I’ve wanted to solve it for years, but had no idea how. This was all @sukjun_hwang and @fluorane's amazing work!
I wrote about the story of its development, and what might be coming next.
The H-Net:
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