NEPA 正是将这种 GPT 式的哲学引入视觉领域的一次大胆尝试。作者认为,与其学习如何重建图像,不如学习如何“推演”图像。如果模型能够根据已有的视觉片段(Patches),准确预测出下一个片段的特征表示(Embedding),那么它一定已经理解了图像的语义结构和物体间的空间关系。
【新智元导读】谷歌这波像开了「大小号双修」:前脚用Gemini把大模型战场搅翻,后脚甩出两位端侧「师兄弟」:一个走复古硬核架构回归,一个专职教AI「别光会聊,赶紧去干活」。手机里的智能体中枢,要开始卷起来了。
Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...
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There’s been a lot of talk of an AI bubble lately, especially regarding circular funding involving companies like OpenAI and Anthropic—but Clem Delangue, CEO of machine-learning resources hub Hugging ...
Hugging Face co-founder and CEO Clem Delangue says we’re not in an AI bubble, but an “LLM bubble” — and it may be poised to pop. At an Axios event on Tuesday, the entrepreneur behind the popular AI ...
The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how trustworthy they really are. ChatGPT maker OpenAI has built an experimental ...
The AI researchers at Andon Labs — the people who gave Anthropic Claude an office vending machine to run and hilarity ensued — have published the results of a new AI experiment. This time they ...
A new technical paper titled “SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference” was published by researchers at Princeton University and University of Washington. “Large ...
Despite significant advances in Multimodal Large Language Models (MLLMs), understanding complex temporal dynamics in videos remains a major challenge. Our experiments show that current Video Large ...
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