2023

LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization

Nasir, Muhammad U., Earle, Sam, Cleghorn, Christopher et al.

Understand

Large Language Models (LLMs) have emerged as powerful tools capable of accomplishing a broad spectrum of tasks.

  • Their abilities span numerous areas, and one area where they have made a significant impact is in the domain of code generation.
  • Here, we propose using the coding abilities of LLMs to introduce meaningful variations to code defining neural networks.
  • Meanwhile, Quality-Diversity (QD) algorithms are known to discover diverse and robust solutions.

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