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PaperGPT : KEN: Kernel Extensions using Nat.Lang.

Unofficial GPT with "KEN: Kernel Extensions using Natural Language" in its knowledge for retrieval. Does not use conversation data to improve models.
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Prompt Starters

  • What can you tell me about KEN's approach to simplifying eBPF programming?
  • How does KEN's use of large language models improve kernel extension development?
  • Can you explain the symbolic execution technique used in KEN?
  • Show an example of a prompt and an eBPF program produced by KEN

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