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Openai/6939b23e-87cc-8001-bdd9-9546d1143ce9
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==== - Summarization hierarchy: periodically compress older notes into concise summaries. ==== * Cross-referencing: when new chunks are processed, include relevant summaries from related tags. * Chunk prioritization: feed critical content first, low-priority content later. * Prompt engineering: explicitly instruct the AI on how to integrate new info with past notes. ===== - Think of your small AI as a student with a tiny desk: - You can’t fit all the books on the desk at once. - You give it one page at a time, with labeled notes and summaries. - It writes its own summaries into a notebook (external memory). - Next page, it consults the notebook to understand the context. ===== If you want, I can make a diagram showing a “small AI + large project” workflow, with incremental feeding, tagged chunks, and external memory retrieval — showing exactly how you can scale thousands of pages for a small model. Do you want me to do that?
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