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Openai/6939b23e-87cc-8001-bdd9-9546d1143ce9
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==== 1. Pre-process your project - Break content into small, manageable units (sentences, paragraphs, sections). - Assign tags / metadata to each unit: - Topic, chapter, subcategory - Priority / importance - Any dependencies ==== # Feed the model incrementally - Send one sentence or small chunk at a time, along with its tags. - Example input to AI: <syntaxhighlight>[Tag: Chapter 3 | Subtopic: Materials | Priority: High] Sentence: "The new alloy exhibits a tensile strength of 1,200 MPa at 500Β°C." Task: Summarize key points, link to previous notes tagged with Materials. </syntaxhighlight> # Use external memory / orchestration - Store AI outputs, summaries, or insights in a structured database. - Include the tags so the model can retrieve relevant context later. # Iteratively build understanding - For each new chunk, feed in: - The chunk itself - Relevant previous notes retrieved via tags - Task instructions for what to do with it
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