From Agents to Teammates: Building Cohesive AI Squads
Impossible d'ajouter des articles
Échec de l’élimination de la liste d'envies.
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
From Agents to Teammates: Building Cohesive AI Squads
-
Lu par :
-
De :
À propos de cette écoute
Meet the Aime framework—ByteDance’s fresh take on multi-agent systems that lets AI teammates think on their feet instead of following brittle, pre-planned scripts. A dynamic planner keeps adjusting the big picture, an Actor Factory spins up just-right specialist agents on demand, and a shared progress board keeps everyone in sync. In tests ranging from general reasoning (GAIA) to software bug-fixing (SWE-Bench) and live web navigation (WebVoyager), Aime consistently out-performed hand-tuned rivals—showing that flexible, reactive collaboration beats static role-play every time.
This episode of IA Odyssey unpacks how Yexuan Shi and colleagues replace rigid “plan-and-execute” pipelines with fluid teamwork, why it matters for real-world tasks, and where adaptive agent swarms might head next.
Source paper: https://arxiv.org/abs/2507.11988
Content generated with help from Google’s NotebookLM.
Vous êtes membre Amazon Prime ?
Bénéficiez automatiquement de 2 livres audio offerts.Bonne écoute !