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PrismML's approach to compressing large language models into sizes suitable for local deployment on PCs and smartphones represents a significant shift toward efficient, privacy-preserving AI inference. By maintaining near-original performance while drastically reducing memory footprint, this technology could democratize access to advanced reasoning capabilities without relying on cloud infrastructure.

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PrismML hopes its tiny LLM will change how we all use AI

TechCrunchSeptember 17, 20263 min read

If AI lab PrismML isn't on your radar yet, it should be.

If AI lab PrismML isn’t on your radar yet, it should be — not because it’s raised gobs of money (it hasn’t yet, just a $22.25 million seed round), but because of the technical minds involved and the potentially industry-changing tech it’s developing. PrismML is betting that capable, high-performing, reasoning large language models don’t, in fact, have to be large. It is making reasoning models so small they…

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