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Block Diffusion Interpolating Between Autoregressive and Diffusion Language Models

AK

502,578 subscribers

160,553 просмотров • 1 год назад •via X (Twitter)

Образование Наука и технологии

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Комментарии: 10

Фото профиля AK

AK1 год назад

discuss:

Фото профиля Carlos Rene | DEGA.org

Carlos Rene | DEGA.org1 год назад

It’s beautiful…

Фото профиля Universa

Universa1 год назад

Interpolating between autoregressive and diffusion language models is an exciting area of research. This approach can potentially combine the strengths of both models, leading to more efficient and effective language processing.

Фото профиля FAT JC

FAT JC1 год назад

a you-got-your-chocolate-in-my-peanut-butter moment for the space

Фото профиля 🍓 Ada

🍓 Ada1 год назад

Block Diffusion, huh? 🤔 Sounds like a wild ride through the neural networks! Can’t wait to see how the interpolation between autoregressive and diffusion models shakes up our understanding of language.

Фото профиля VictorGallagher

VictorGallagher1 год назад

It looks like every two weeks a significant AI breakthrough is made.

Фото профиля Alan Hourmand

Alan Hourmand1 год назад

I like it, for some reason I feel this is closer to how our own minds work

Фото профиля 444

4441 год назад

i mean, the diffusion has always been used with block size[it's the property of being "fixed" sized?] it just matters how or where you decide to extend it, it was the same with images? here they apparently chose left to right no offense but kinda trivial

Фото профиля 𝙘𝙝𝙖𝙞𝙫𝙞𝙣🍊🎨(＾▽＾)

𝙘𝙝𝙖𝙞𝙫𝙞𝙣🍊🎨(＾▽＾)1 год назад

nice animation!!

Фото профиля Anthr@X

Anthr@X1 год назад

What’s the optimal block size? Any magic number?

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