This article originally appeared on Engadget at https://www.engadget.com/gaming/nvidia-updates-shield-tv-after-pledging-further-support-141346264.html?src=rss
Games and physics simulations need to detect which objects are touching or overlapping. With nnn objects, checking every pair is O(n2)O(n^2)O(n2) comparisons, which gets expensive fast. A hundred objects means roughly 5,000 pair checks. A thousand means nearly 500,000.
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Transformers solve these using attention (for alignment), MLPs (for arithmetic), and autoregressive generation (for carry propagation). The question is how small the architecture can be while still implementing all three.
This complex engineering translates into tangible benefits: