Preserving data confidentiality has become an increasingly challenging task in the era of Large Language Models (LLMs), such as ChatGPT or Bard, which have ushered in a new era of Natural Language Understanding and Generation, making it possible to extract valuable insights from vast amounts of textual data. However, this powerful capability also raises significant concerns about data privacy and confidentiality.
Private Data Anonymization for LLM prompting
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