A context window refers to the amount of surrounding text or data that a machine learning model, particularly a large language model, considers when processing and generating output. Understanding context windows is crucial in the tech community as it directly impacts the performance and accuracy of natural language processing applications, such as chatbots, language translation, and text summarization, by determining how much relevant information is taken into account.
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