The best Side of large language models
The Reflexion technique[54] constructs an agent that learns around various episodes. At the end of Every episode, the LLM is supplied the file on the episode, and prompted to Feel up "lessons learned", which might support it execute much better in a subsequent episode. These "lessons uncovered" are given towards the agent in the subsequent episodes