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improvement of bostrom intro to for ai geeks
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- article on [[relevance machine]] | ||
- thoughts on [[probabilistic collective computations]] | ||
- [[cybergraph, rm and llm]] and strange [[reality of foundation models]] | ||
- [[knowledge graphs and llms]] and strange [[reality of foundation models]] |
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alias:: elon launch, launch rocket | ||
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- ![elon launch rocket](https://emerald-raw-leopon-384.mypinata.cloud/ipfs/QmSd59ndqbEjmP4hgQVFUN4rUrHHFGTugGpyCYY9mD46U7) |
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tags:: gnn, gnns, graph neural networks |
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- | ||
- good explanation on fundamental difference between [[knowledge graphs]] and [[llms]] | ||
- [unifying large language models and knowledge graphs: a roadmap](https://cyb.ai/oracle/ask/QmdGEYVKo1sRURzbj83UMtr77EL6GHUB2taJbnpTynEQKT) | ||
- TODO [[create visualization]] | ||
- id:: 66b2fb4e-c73b-4133-aab3-11df2e8d1436 | ||
| property | knowledge graphs | large language models | | ||
|---------------------------|--------------------------|--------------------------| | ||
| representation | structured: [[triples]] | unstructured: [[text]] | | ||
| knowledge storage | [[explicit]] | [[implicit]] | | ||
| interpretability | high | low | | ||
| generalizability | low | high | | ||
| factual accuracy | high | low | | ||
| reasoning | symbolic | probabilistic | | ||
| knowledge update | easy | hard | | ||
| decisiveness | high | low | | ||
| unseen facts | no | yes | | ||
| incompleteness | high | low | | ||
- ![graphs and llms](https://emerald-raw-leopon-384.mypinata.cloud/ipfs/QmZoAhUsB1KAEbnLCWcMAohtWsAXCDZuetJALrEe5JEnSC) | ||
- | ||
- insights are the following that [[knowledge graphs]] and [[llms]] are | ||
- fundamentally different | ||
- must interact in any [[intelligent]] system | ||
- key to [[superintelligence]] | ||
- go on to dive into | ||
- [[cybergraph]] and [[relevance machine]] | ||
- as beautiful counterpart [[probabilistic model]] for [[llm]] | ||
- in a modern [[soft3 stack]] |
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alias:: triples |
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