Expired60% confidenceFactExact time
The core generation mechanism of LLMs is: given all preceding tokens, predict the probability distribution of the next token.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Can't Fill Out Prompt Templates Properly? The Four-Module Incremental Method Doubles Your AI Output Quality
bilibili流月与六分钱5/31/2026
Related Claims
Partially VerifiedLLMs use an autoregressive generation mechanism, sampling the next token at each step based solely on a probability distribution.83% similarUnverifiedThe core mechanism of an LLM is to predict the next most likely token — that is, to find the highest-probability path in the training data distribution.80% similarVerifiedLLMs generate output token by token in an autoregressive manner, with each word's selection based on probability sampling from the current context.79% similarUnverifiedLLM在输出第一行代码之前，其内部注意力机制已对整体结构形成概率分布上的预期，因此往往能在第一行就给出最关键的数据结构选择77% similarVerifiedThe root cause of LLM hallucination lies in the autoregressive generation mechanism—the model predicts the next Token based on a probability distribution rather than genuine logical reasoning.76% similar
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