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Interrupting encoder training in diffusion models enables more efficient generative AI

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...

Tencent’s new AI technique teaches language models ‘parallel thinking’

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

From stuck to scaled: How hyper-parallel AI training cuts iteration cycles 20X

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...
Decrypt

Do LLMs Dream of Electric Sheep? New AI Study Shows Surprising Results

TU Wien researchers tested six frontier LLMs by leaving them without any tasks or instructions. Some models built structured ...
The Scientist

Researchers Decode How Protein Language Models Think, Making AI More Transparent

By spreading out tightly packed information in neural networks, a new set of tools could make AI protein models easier to ...