Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
A large adaptable model still requires GPUs, batching, latency tuning, and engineering staff, so lower inference cost does not remove the need to maintain a narrow document-filtering system.
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