Unverified50% confidenceFactExact time
Language models can only reason based on the content within the prompt window, and the prompt is a fixed-size window.
1
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50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
Sources
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Related Claims
UnverifiedThe 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.75% similarUnverifiedLarge language models are essentially stateless functions, and a model's memory depends entirely on the content within the context window.74% similarUnverifiedThe 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.73% similarUnverifiedThe inference process of large language models is often constrained by memory bandwidth rather than pure floating-point compute.73% similarUnverifiedEach inference of a large language model relies on the complete context window, and conversation branching means different sub-threads each maintain independent message histories without polluting one another.72% similar
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