This new framework lets LLM agents learn from experience, no fine-tuning required

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning the underlying language model. The method allows agents to continuously improve their performance by using a structured memory system that updates itself as the agent gathers experience.