New memory framework builds AI agents that can cope with real-world unpredictability
researchers University of Illinois at Urbana-Champaign and Google Cloud AI research developed a framework that allows large-scale language model (LLM) agents to organize their experiences into memory banks and get better at complex tasks over time. A framework called mystery bankextracts “generalizable inference strategies” from the agent’s successful and unsuccessful problem-solving attempts. Agents use this…
