AINeutralarXiv – CS AI · Mar 36/104
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How Small Can 6G Reason? Scaling Tiny Language Models for AI-Native Networks
Researchers evaluated compact AI language models for 6G networks, finding that mid-scale models (1.5-3B parameters) offer the best balance of performance and computational efficiency for edge deployment. The study shows diminishing returns beyond 3B parameters, with accuracy improving from 22% at 135M to 70% at 7B parameters.