(New) papers by Meta: Large Concept Models and BLT

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Seems Meta have been doing some research lately, to replace the current tokenizers with new/different representations:

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Uh, I'm not sure. I didn't have the time yet to read those papers. I suppose the Byte Latent Transformer does. It's still some kind of a transformer architecture. With the Large Concept Models, I'm not so sure. They're encoding whole sentences. And the researchers explore like 3 different (diffusion) architectures. The paper calls itself a "proof of feasibility", so it's more basic research about that approach, not one single/specific model architecture.