{"id":306972,"date":"2026-07-01T17:10:37","date_gmt":"2026-07-01T17:10:37","guid":{"rendered":"https:\/\/aiassetman.com\/?p=306972"},"modified":"2026-07-01T17:10:37","modified_gmt":"2026-07-01T17:10:37","slug":"how-much-data-can-an-llm-hold-only-for-techies","status":"publish","type":"post","link":"https:\/\/aiassetman.com\/how-much-data-can-an-llm-hold-only-for-techies\/","title":{"rendered":"How Much Data Can an LLM hold (only for techies)"},"content":{"rendered":"

I queried Google.com with the title question and got this from it’s AI.<\/p>\n

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LLMs do not “store” information in a traditional database<\/span><\/mark> [1<\/a>, 2<\/a>]. Instead, their knowledge is either permanently baked into their internal parameters (the model’s “brain”) during training, or loaded temporarily into their context window<\/strong> (their “working memory”) during a prompt. [1<\/a>, 2<\/a>, 3<\/a>, 4<\/a>]<\/div>\n
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1. The Context Window (Working Memory)<\/strong><\/div>\n
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This is the amount of text an AI can process in a single prompt or conversation. Because 1,000 tokens equal roughly 750 English words, modern AI capacities are immense: [1<\/a>, 2<\/a>, 3<\/a>, 4<\/a>]<\/div>\n<\/div>\n
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