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The company additionally monitors model deviation and maintains rigorous training parameters. "Unlike internet-trained systems like ChatGPT, we train against potential grid conditions," Wong explained. "When encountering untrained scenarios beyond established boundaries, we execute targeted training for specific solution spaces."
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