Verified65% confidenceFactExact time
The context window is one of the fundamental limitations of current large language models, as a model can only process a limited number of tokens in a single inference.
3
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65%
Confidence
Long-term
Relevance
9/16/2026
First Seen
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Related Claims
UnverifiedThe context window refers to the upper limit on the number of tokens a model can read simultaneously in one inference; it is only the input limit for a single request and does not mean the model can continuously remember the entire codebase.78% similarUnverifiedLanguage models can only reason based on the content within the prompt window, and the prompt is a fixed-size window.75% similarVerifiedIn large language models, a Token is the smallest unit of text that a model processes74% similarVerifiedEvery large language model has a maximum token limit it can process, and when the content accumulated by a long task approaches that limit the model will forget early content due to degradation of the attention mechanism over excessively long sequences.74% similarUnverified语言模型生成 token 本质上是内存带宽受限任务而非纯算力受限74% similar
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