Humans are known for their ability to learn from mistakes, refining problem-solving approaches through self-reflection and analysis. This concept can be applied to a wide range of problems that lack a definitive ground truth, such as protein design, chemical design, and architectural design, as well as simpler problems encountered in everyday life.



In this article, we explore the concept of Reflexion, as outlined in this article, an iterative method for problem-solving, in LLMs like GPT-4, that mirrors human intelligence and its applications in various fields.