Agentic AI Systems Characterized In New Study
A new study characterizes multi-model agentic AI systems on general tasks using trace-driven simulation. The research, authored by Donghwan Kim and others, focuses on iterative planning, tool use, and reasoning based on observed outcomes.
Topics
Developing
- 882d Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore.
- 882d Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
- 882d Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est.
- 882d Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium.
Sources · 7 independent
Modernity/arxiv
“Prakhar Singh, Younghoon Min, Jongryool Kim, Jongse Park, Kiwan Maeng Abstract: Agentic AI completes tasks through iterative planning, tool use, and reasoning based on observed...”
Unlock the full story
Get a Pro subscription or above to see the live story progression and the full list of independent sources confirming each event as they happen.
Log in to upgrade