Méta-agent
/me.ta.aʒɑ̃/In artificial intelligence, a meta-agent is an autonomous system that can monitor, evaluate, and modify its own decision-making processes to achieve more effective outcomes. It operates at a higher level of abstraction than standard AI agents, incorporating self-reflection and adaptive learning.
Les méta-agents sont utilisés dans les systèmes d'apprentissage automatique pour améliorer l'efficacité des modèles.
Meta-agents are used in machine learning systems to improve model efficiency.
The term combines 'meta' (higher-level analysis) with 'agent' (autonomous system), reflecting its role in self-optimizing AI.
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💡Pro Tip
Context Matters
Use 'méta-agent' only in technical discussions about AI; it is not a general term.
⚡Gold Rule
Precision
Ensure the term is used in contexts involving self-optimizing AI systems.
📖Word Origin
Derived from 'méta' (Greek for 'beyond' or 'higher-level') and 'agent' (an autonomous entity), reflecting its role in self-aware AI systems.
📝Usage Notes
Primarily used in discussions about advanced AI, particularly in research and development contexts. Avoid using in non-technical settings.