ACE prevents context collapse with ‘evolving playbooks’ for self-improving AI agents
via stanford.edu
Short excerpt below. Read at the original source.
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automatically populates and modifies the context window of large language model (LLM) applications by treating it as an “evolving playbook” that creates and refines strategies as the agent gains […]