Reflexion is a pattern that extends Reflection by allowing models to trigger external research when their internal critique identifies the need for new information beyond their training data. This process involves drafting an initial response, executing external searches based on generated queries, and revising the answer using retrieved evidence, ensuring claims are supported with clear sources. Reflexion enhances factual accuracy but introduces complexity due to dependencies on tool quality and query effectiveness.
Read the full article at Towards AI - Medium
Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.
4
Comments
Ali NematiWritten by Ali
