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The evolution of artificial intelligence (AI) has shifted from simple algorithms to advanced generative systems. While large transformer models excel in general tasks, they struggle with specialized jobs and can be costly to operate. The future of AI is believed to lie in smaller, more efficient AI agents that can operate autonomously and make decisions based on specific data.
AI agents are designed to handle distinct tasks, improving efficiency and reducing costs. For instance, in software development, multi-agent systems can assist in code generation and debugging, potentially increasing productivity significantly. However, the implementation of these systems raises concerns about accountability, communication, and the psychological impact on human capabilities.
• AI agents offer a more efficient alternative to large models.
• Multi-agent systems can enhance productivity in software development.
AI agents are specialized models that operate autonomously to perform specific tasks.
Multi-agent systems consist of multiple AI agents working together to achieve complex objectives.
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