Leverage Expertise through Iterative Inquiry

Utilizing large language models (LLMs) provides the ability to access expertise in areas where one may lack knowledge. These models summarize insights from experts based on the extensive training data sourced from their work. This advantage allows users to form more informed, coherent outputs, like articles, by tapping into the collective expertise without being an expert themselves. The process can be enhanced through question refinement, which involves starting with a general inquiry and iteratively refining the questions to obtain more specific and relevant information. This technique promotes deeper understanding and more precise answers.