knowledge graphs and llms

• good explanation on fundamental difference between knowledge graphs and llms

  • unifying large language models and knowledge graphs: a roadmap

  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 and probabilistic	probabilistic
  knowledge update	easy	hard
  decisiveness	high	low
  unseen facts	no	yes
  incompleteness	high	low

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• create visualization

• 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 truth machine
  • as beautiful counterpart probabilistic model for llm
  • in a modern soft3 stack