Best of ai-agents — August 2024

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   Video

   IBM Technology·2y

   How to Build a Multi-agent AI System

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   Article

   GitHub Blog·2y

   What are AI agents and why do they matter?

   AI agents use large language models and additional algorithms to autonomously perform tasks, enhancing capabilities like software development and booking plane tickets. They can plan, use memory, and query APIs, making them versatile tools to minimize mundane tasks for developers. Ongoing challenges include predicting AI behavior and explaining outputs. Tools like GitHub Copilot Workspace are evolving to make developers more productive by enabling collaboration with multi-agent systems that handle complex tasks.

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   Article

   Hacker News·2y

   AI multi-agents with corporate structures

   The performance of AI agents can be significantly impacted by organizing them based on corporate structures found in big tech companies. Competitive teams like those in Microsoft and Apple outperform centralized hierarchies seen in Google and Amazon. This experiment suggests that just as human organizational structures shape problem-solving approaches, so too can the structured interactions of AI agents. Although adding more agents improves accuracy to an extent, future advancements will likely depend on enhancing agents' logical reasoning capabilities and providing better tools.

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