Episode 39: Lean Agentic AI – Rethinking Autonomy for Cost, Carbon, and Control
Échec de l'ajout au panier.
Veuillez réessayer plus tard
Échec de l'ajout à la liste d'envies.
Veuillez réessayer plus tard
Échec de la suppression de la liste d’envies.
Veuillez réessayer plus tard
Échec du suivi du balado
Ne plus suivre le balado a échoué
Episode 39: Lean Agentic AI – Rethinking Autonomy for Cost, Carbon, and Control
-
Narrateur(s):
-
Auteur(s):
À propos de cet audio
As agentic systems enter real-world production, many are facing the same pitfalls they were designed to avoid—rising costs, bloated memory, redundant workflows, and unsustainable compute demands.
In this episode, we explore the Lean Agentic AI mindset—a discipline that redefines what it means to build intelligent systems. From model minimalism to scoped memory, self-evaluating agents, and purpose-bound orchestration, we unpack how agentic workflows can scale efficiently without compromising performance or principles.
Discover how lean intelligence is becoming the true measure of smart AI—and why the future belongs to systems that know not just what to do, but when to stop.
Ce que les auditeurs disent de Episode 39: Lean Agentic AI – Rethinking Autonomy for Cost, Carbon, and Control
Moyenne des évaluations de clientsÉvaluations – Cliquez sur les onglets pour changer la source des évaluations.
Il n'y a pas encore de critiques pour ce titre.