Opinion: The Sacred and the Silicon Valley

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Одному из российских рынков предсказали рост до полутриллиона рублей15:00

沪指涨幅扩大至1%体育直播对此有专业解读

В двух аэропортах на юге России ввели ограничения на полеты14:55

Qwen3.5 is powerful for multilingual fine-tuning as it supports 201 languages.

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If I were to evade AIGC detection, the only ideas I have are fine-tuning an LLM on massive human text or building a giant rule-based lookup table to disrupt SVM-matched features. But obviously, that’s beyond this article. Not sure if it’d work either. Or maybe there are better ways—left as an exercise. Prove it yourself.