Every day, millions of people use AI tools like ChatGPT and Copilot. If you want to understand modern artificial intelligence, you can’t ignore Large

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LLMs do not have human-like memory. Knowledge is encoded into model parameters during training (parametric memory) and frozen afterward. Within a conversation, LLMs use a context window as temporary working memory, discarding it after each response. Applications like ChatGPT simulate memory by re-sending conversation history with each new prompt — the memory lives in the application layer, not the model. Retrieval-Augmented Generation (RAG) extends this by pulling relevant data from external databases into the context window. The LLM itself remains stateless throughout.

Why LLMs Don’t Have Memory — But Still Feel Smart