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Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR models to high-resolution images remains a persistent challenge. Unlike text, where relatively few tokens are […]
Thank you all for the kind words related to our announcement that GamesBeat is going independent as we spin out of VentureBeat. We can’t think of a better way to spend our time than serving […]
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Integrating long-context capabilities with visual understanding significantly enhances the potential of VLMs, particularly in domains such as robotics, autonomous driving, and healthcare. Expanding the context size enables VLMs to process extended video and text sequences, […]
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More French AI startup Pleias made waves late last year with the launch of its ethically trained […]
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AI models like Anthropic Claude are increasingly asked not just for factual recall, but for guidance involving complex human values. Whether it’s parenting advice, workplace conflict resolution, or help drafting an apology, the AI’s response […]
Challenges in Localized Captioning for Vision-Language Models Describing specific regions within images or videos remains a persistent challenge in vision-language modeling. While general-purpose vision-language models (VLMs) perform well at generating global captions, they often fall […]
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