Deck Detail: SELF-REFINE: Iterative Refinement with Self-Feedback

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Description: SELF-REFINE is a method for improving outputs from large language models (LLMs) through iterative self-feedback and refinement. This approach uses the same LLM to generate an initial output, provide feedback, and refine it iteratively without the need for supervised training or additional data.
Authors: Madaan et. al.
Date Created: 6/6/2024
Last Updated: 6/6/2024
# Flashcards: 17
Tags: AI Agents, Machine Learning