Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
vladbogo.substack.com
Today's paper introduces SELF-TUNING, a framework designed to enhance large language models' (LLMs) ability to effectively acquire new knowledge from raw documents through self-teaching. Motivated by the Feynman Technique for efficient human learning, SELF-TUNING aims to improve LLMs' knowledge acquisition across memorization, comprehension, and self-reflection aspects.
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
Self-Tuning: Instructing LLMs to Effectively…
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
Today's paper introduces SELF-TUNING, a framework designed to enhance large language models' (LLMs) ability to effectively acquire new knowledge from raw documents through self-teaching. Motivated by the Feynman Technique for efficient human learning, SELF-TUNING aims to improve LLMs' knowledge acquisition across memorization, comprehension, and self-reflection aspects.