You are building a machine learning pipeline in Python using GitHub Copilot. You're aware that, like other large language models (LLMs), Copilot has limitations, such as generating inaccurate or incomplete code, especially with large or complex files. You want to understand how Copilot's context window limitations affect its ability to generate accurate suggestions. Which statement best describes this impact?