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PrismML brings tiny LLMs to Qualcomm smart glasses

PrismML has created a version of its tiny language models for smart glasses running on Qualcomm's Snapdragon chips, showcased at the Snapdragon Summit.

  • PrismML's 1-bit Bonsai LLM can run locally on AI smart glasses built on the Snapdragon AR1 Gen 1 Platform.
  • The smart glasses version is a 2-billion-parameter model tuned for vision and language.
  • No smart glasses running PrismML have been announced yet.

The AI Lab PrismML has created a version of its tiny language models for smart glasses running on Qualcomm's Snapdragon chips. The company was founded by Caltech researchers and is advised by UC Berkeley's Ion Stoica.

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.

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.

Why this matters: The release is a step toward open-weight AI that runs on devices and makes better use of existing computing power, according to the startup.

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