From the source
Sakana AI presents CycleQD, a framework for evolving a population of small LLM agents (8B parameters) using model merging and quality diversity to excel in agentic tasks, supported by the Japanese GENIAC grant.
From the source
We explore this concept in our recent paper, Agent Skill Acquisition for Large Language Models via CycleQD , where we propose a framework called CycleQD for evolving a swarm of LLM agents, each with their own niche, to tackle difficult agentic workflow tasks.
sakana.ai
