PrismML brings its tiny LLMs to Qualcomm-powered smart glasses
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.
- ▪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.
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| Publication time | Thu, 24 Sep 2026 19:00:42 +0000 |
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In Brief Posted: 12:00 PM PDT · September 24, 2026 Image Credits:PrismML Julie Bort 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.
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