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These are the mental frameworks to use when distilling a source into wiki pages.
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# Ingest Prompt Templates These are the mental frameworks to use when distilling a source into wiki pages. ## Knowledge Extraction Frame When reading a source document, ask yourself: 1. **What are the 3-5 most important ideas in this document?** These become concepts pages or updates to existing concept pages. 2. **Who or what is mentioned that deserves its own page?** People, tools, organizations, projects → entity pages. 3. **What does this document teach you how to do?** Procedures, workflows, techniques → skills pages. 4. **What claims does this document make?** Each claim needs a source attribution. If it contradicts an existing wiki claim, note the contradiction. 5. **How does this connect to what the wiki already knows?** This is the most important question. The value of the wiki compounds through connections. ## Synthesis Frame When a new source covers ground that existing pages already cover: - Don't duplicate — synthesize - If the new source agrees with existing content, strengthen the claims with additional attribution - If it disagrees, create an "Open Questions" or "Debate" section noting both positions - If it adds nuance, weave it into the existing narrative ## Cross-Reference Discovery After extracting knowledge, look for these connection patterns: - **Is-a**: "Transformers are a type of neural network" → link from transformer page to neural-network page - **Uses**: "RLHF uses reward models" → link from RLHF to reward-models - **Contrasts-with**: "CNNs vs. Transformers for vision" → mutual links - **Part-of**: "Attention is a component of transformers" → link from attention to transformers - **Created-by**: "Transformers were introduced by Vaswani et al." → link to entity page - **Applied-in**: "Transformers are used in GPT" → link from transformers to GPT
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These are the mental frameworks to use when distilling a source into wiki pages.
# Ingest Prompt Templates These are the mental frameworks to use when distilling a source into wiki pages. ## Knowledge Extraction Frame When reading a source document, ask yourself: 1. **What are the 3-5 most important ideas in this document?** These become concepts pages or updates to existing concept pages. 2. **Who or what is mentioned that deserves its own page?** People, tools, organizations, projects → entity pages. 3. **What does this document teach you how to do?** Procedures, workflows, techniques → skills pages. 4. **What claims does this document make?** Each claim needs a source attribution. If it contradicts an existing wiki claim, note the contradiction. 5. **How does this connect to what the wiki already knows?** This is the most important question. The value of the wiki compounds through connections. ## Synthesis Frame When a new source covers ground that existing pages already cover: - Don't duplicate — synthesize - If the new source agrees with existing content, strengthen the claims with additional attribution - If it disagrees, create an "Open Questions" or "Debate" section noting both positions - If it adds nuance, weave it into the existing narrative ## Cross-Reference Discovery After extracting knowledge, look for these connection patterns: - **Is-a**: "Transformers are a type of neural network" → link from transformer page to neural-network page - **Uses**: "RLHF uses reward models" → link from RLHF to reward-models - **Contrasts-with**: "CNNs vs. Transformers for vision" → mutual links - **Part-of**: "Attention is a component of transformers" → link from attention to transformers - **Created-by**: "Transformers were introduced by Vaswani et al." → link to entity page - **Applied-in**: "Transformers are used in GPT" → link from transformers to GPT