The context window size defines how much text an AI model can process at once, measured in tokens. It enables handling lengthy documents, conversations, or code. Developers and researchers benefit by optimizing performance for complex tasks, while users get more coherent, nuanced responses. Larger windows improve comprehension but increase computational demands.
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