
AI models often seem to forget parts of a conversation due to the limitations of their Context Window. This window determines the amount of information a model can process at any given time. As a conversation progresses, the window fills with tokens from user messages, instructions, and previous AI responses. Once the window is full, older information may be discarded, leading to the appearance of forgetfulness. Different models have varying capacities for context, and the Attention mechanism helps prioritize important information within the window.
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