Tag: agentic context engineering

Researchers Introduce ACE, a Framework for Self-Improving LLM Contexts

Researchers from Stanford University, SambaNova Systems, and UC Berkeley have proposed Agentic Context Engineering (ACE), a new framework designed to improve large language models (LLMs) through evolving, structured contexts rather than weight updates. The method, described in a paper, seeks to make language models self-improving without retraining. By Robert Krzaczyński.