简讯
发布时间：
2026年9月24日 太平洋时间下午12:00
图片来源：
PRISMML
朱莉·博尔特
PrismML将其超小型大语言模型带入高通智能眼镜
由加州理工学院研究人员创立、并受加州大学伯克利分校Ion Stoica指导的AI实验室PrismML，已为其超小型语言模型创建了适用于运行高通骁龙芯片的智能眼镜的版本。
周三，在骁龙峰会上，这家芯片制造商展示了PrismML的1位Bonsai LLM，该模型可在基于骁龙AR1 Gen 1平台的AI智能眼镜上本地运行。
正如TechCrunch此前报道的那样，PrismML的成名之处在于它大幅缩小了较大模型的规模（在本例中缩小了4倍），同时在标准基准测试中保留了几乎全部性能。这款智能眼镜版本是一个20亿参数的模型，针对视觉和语言进行了调优，因此佩戴者可以实时询问他们正在看的内容。
PrismML更大的目标是实现运行在设备上的开源权重AI，并更有效地利用设备已有的计算能力。这家初创公司将此定位为一种替代方案，以避免依赖专有AI实验室的隐私承诺以及它们对更多算力的无尽需求。
为高通芯片发布模型是实现这一愿景的一步。但截至目前，尚未宣布任何搭载PrismML的智能眼镜。
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IMAGE CREDITS:
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PrismML brings its tiny LLMs to Qualcomm-powered smart glasses
The AI Lab PrismML — founded by Caltech researchers and advised by UC Berkeley’s Ion Stoica — has created a version of its tiny language models for smart glasses running on Qualcomm’s Snapdragon chips.
On Wednesday, at Qualcomm’s Snapdragon Summit, the chipmaker showcased PrismML’s 1-bit Bonsai LLM, which can be run locally on AI smart glasses built on the Snapdragon AR1 Gen 1 Platform.
As TechCrunch previously reported, PrismML’s claim to fame is that it shrinks larger models substantially (in this case, by 4x), while retaining almost all of their performance on standard benchmarks. The smart glasses version is a 2-billion-parameter model tuned for vision and language, so wearers can ask what they’re looking at in real time.
Prism’s larger goal is open-weight AI that runs on devices and makes better use of the computing power they already have. The startup pitches this as an alternative to depending on the privacy promises of proprietary AI labs and their insatiable need for more compute.
Releasing a model for Qualcomm’s chip is a step toward that vision. But no smart glasses running PrismML have been announced yet.
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首次收录 · 2026-09-25 · 12.8 分