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Towards Large-Language Model Assisted Layout of Silicon Photonic Integrated Circuits

  • Jason Liu,
  • Ankita Sharma,
  • Cheick Doumbia,
  • Joyce K. S. Poon

摘要

Recent breakthroughs in artificial intelligence (AI), especially large language models (LLMs) are revolutionizing the automation of complex language-based tasks. Here we report a software tool under development that uses the Llama2-70B language model for automating the layout of silicon photonic devices. Preliminary tests demonstrate the tool’s effectiveness in accurately generating code to layout a single device from a natural language prompt.