The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...
All over the AI field, teams are unlocking new functionality by changing the ways that the models work. Some of this has to do with input compression and changing the memory requirements for LLMs, or ...
New funding will scale the development of faster, more efficient AI models for text, voice, and code Inception dLLMs have already demonstrated 10x speed and efficiency gains over traditional LLMs PALO ...
With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...
NVIDIA's research team published NVIDIA's July 2026 arXiv preprint on July 7 proving that autoregressive and diffusion language models do not need to compete — they can be trained together on the same ...
With powerful video generation tools now in the hands of more people than ever, let's take a look at how they work. MIT Technology Review Explains: Let our writers untangle the complex, messy world of ...
NVIDIA's research team on Wednesday published open weights and training code for Nemotron-Labs-TwoTower, a discrete diffusion language model that generates text 2.42 times faster than standard ...
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