Unverified50% confidenceFactExact time
Word vectors are initialized as random values and continuously optimized through backpropagation during training to represent the semantic features of tokens.
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9/11/2026
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Unverified「随机鹦鹉」指的是依据训练数据中观察到的概率分布将语言符号随机拼缝在一起、却对符号所指意义没有真正理解的系统75% similarVerified域随机化是指在仿真训练中刻意随机扰动物理参数，迫使策略学习到对参数变化具有泛化能力的行为73% similarUnverifiedThe richer the randomization dimensions and the closer they are to the real distribution, the stronger the generalization capability of the trained model71% similarUnverified大语言模型是概率性、随机性的，它根据之前出现的词元来预测下一个词元69% similarUnverifiedWord-by-word generation is technically called autoregressive generation, where the token generated at each step is appended back to the input sequence as the condition for the next prediction68% similar
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