| ▲ | rakel_rakel 2 days ago | |||||||||||||||||||||||||||||||||||||
Hey Siri, show me an example of an oxymoron! > CERN is using extremely small, custom large language models physically burned into silicon chips to perform real-time filtering of the enormous data generated by the Large Hadron Collider (LHC). | ||||||||||||||||||||||||||||||||||||||
| ▲ | sh3rl0ck 2 days ago | parent | next [-] | |||||||||||||||||||||||||||||||||||||
There's no mention of SLMs or LLMs, though. > This work represents a compelling real-world demonstration of “tiny AI” — highly specialised, minimal-footprint neural networks FPGAs for Neural Networks have been s thing since before the LLM era. | ||||||||||||||||||||||||||||||||||||||
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| ▲ | msla 2 days ago | parent | prev [-] | |||||||||||||||||||||||||||||||||||||
Are they some ancient small-scale integration VLSI design? Do they broadcast on a low-frequency VHF band? Face it: Oxymorons like those are part of the technical world. "VLSI" was a current term back when whole CPUs were made out of fewer transistors than we use for register files now, and "VHF" is low frequency even by commercial broadcasting standards. | ||||||||||||||||||||||||||||||||||||||
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