Category: AI Engineering Practice

This paper introduces analogical prompting, a novel approach designed to enhance the reasoning capabilities of large language models (LLMs) by enabling them to self-generate relevant exemplars. This method addresses the limitations of traditional prompting techniques, which often require extensive manual labeling and can be inefficient.