Огляд механізмів самовдосконалення LLM

Abstract

As LLMs increasingly serve as cognitive cores for agentic systems, autonomous refinement becomes crucial for ensuring accuracy. This work presents a conceptual overview of existing self-improvement mechanisms in large language models (LLMs) aiming to introduce current methodologies and establish a conceptual framework for understanding autonomous model alignment.