Verified65% confidenceFactExact time
The core idea of the N-gram model is to use the preceding N-1 words to predict the probability of the N-th word.
3
Sources
65%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
UnverifiedWity-1 is a "reasoning decision model" whose strategy is to reason only to the point of sufficiency, stopping when the LLM's internal probability distribution indicates that an answer has been reached.68% similarUnverifiedThe core mechanism of large model inference is the continuous prediction of the probability of the next word, converting raw scores into a probability distribution summing to 1 via the Softmax function.68% similarUnverifiedTraditional autoregressive methods require N forward passes to generate N tokens, whereas speculative decoding consolidates multiple calls into one through batch verification.68% similarUnverified现代ASR模型在解码每个词时会计算概率分布，模型识别越有把握置信度分数越接近1.067% similarUnverified大模型推理的本质是自回归生成，即不断预测下一个token66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/570181API
curl https://kongchang.com/api/v1/knowledge/claims/570181MCP
get_claim(id=570181)