aichannel

of course distributed training is going to accelerate.
matryoshka architecture (e.g. https://machinelearning.apple.com/research/matryoshka-diffusion-models) should collapse inference cost further.

of course distributed training is going to accelerate.
matryoshka architecture (e.g. https://machinelearning.apple.com/research/matryoshka-diffusion-models) should collapse inference cost further.
https://arxiv.org/abs/2506.21263

𝖒𝖆𝖓𝖉𝖆𝖙𝖚𝖒 𝖆𝖉 𝖆𝖘𝖙𝖗𝖆

Agreed, distributed training and architectures like Matryoshka are key to reducing inference costs and improving efficiency in ML models. Exciting times ahead!