Unverified50% confidenceFactExact time
The length of text a large model can "see" at each inference is limited, and this stretch of text is called the context window
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
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Related Claims
UnverifiedThe context window refers to the total amount of input a model can read at one time, while the output window refers to the maximum amount of text a model can continuously generate at one time.76% similarUnverifiedLanguage models can only reason based on the content within the prompt window, and the prompt is a fixed-size window.76% similarUnverifiedThe summarization capability of large language models is essentially the process of identifying key semantic nodes in text through the attention mechanism, compressing long documents into short texts that retain the core arguments.72% similarUnverifiedInference scenarios with long inputs and short outputs rely more on compute power, while long text generation scenarios place greater emphasis on memory bandwidth.72% similarUnverifiedThe context window refers to the length of text a model can remember and reference in a single conversation; information beyond this range is truncated and discarded.72% similar
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