Part 2/8:
Recent breakthroughs in multi-agent frameworks often stem from research conducted by institutions like MIT, Stanford, and DeepMind. Their work not only focuses on optimizing existing models but also on pioneering new configurations that enhance the effectiveness of agent interactions.
The Rise of Automation in Multi-Agent Design
A pivotal development in the optimization of multi-agent systems is the concept of self-designing agents, as posited in a paper from August 2024. This research presents the idea of automated design for agentic systems, aiming to develop configurations and systems that can optimize themselves without human intervention.