Verified90% confidenceFactExact time
The context window of a large language model determines the upper limit of information the model can process in a single inference.
6
Sources
90%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Side Chats：让AI对话不再因分支思考而中断
twittercursor_ai7/10/2026
Related Claims
UnverifiedThe context window refers to the maximum number of tokens a large model can process in a single inference, and a larger context window means higher computational cost.79% similarUnverifiedThe memory of LLMs depends on the context window, which is the maximum number of tokens the model can process in a single inference.77% similarUnverifiedThe ability of a large model to actively infer design specifications from platform context technically falls under Contextual Reasoning, which internalizes industry common sense from massive amounts of data rather than relying on hard-coded rules.77% similarUnverified大模型的指令与数据共享同一个输入上下文窗口，模型通过自注意力机制对全部内容进行统一建模，无法建立物理隔离边界77% similarVerifiedThe computational cost of large language models depends primarily on the number of tokens, model parameter scale, and context window size.75% similar
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