Unverified50% confidenceFactExact time
对于大语言模型推理，吞吐通常以 token 数为单位衡量，即 tokens/s 是评估 LLM 推理框架性能的核心指标
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Related Claims
UnverifiedLLMs are essentially next-token prediction machines based on statistical patterns, and their output is the text sequence with the highest probability given the context.75% similarUnverifiedThe memory of LLMs depends on the context window, which is the maximum number of tokens the model can process in a single inference.73% similarUnverifiedThe core capability of modern LLMs lies in 'next token prediction,' generating coherent text through statistical language patterns rather than truly understanding semantics.72% similarUnverified大语言模型的内存占用由模型参数量、精度格式和推理过程中产生的KV Cache三部分共同决定70% similarVerifiedThe token generation process of large language models is serial, based on an autoregressive mechanism, where each token's generation depends on the previous token.69% similar
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