I’ve been testing out some of the newer agentic workflows compared to just relying on massive context windows. The industry seems to be pushing hard on ‘swarms’ or multi-agent systems where you have specialized sub-agents for different tasks. In my testing, the coordination overhead sometimes feels like it introduces more points of failure than just using a really strong reasoning model with a huge context. Has anyone here successfully deployed a multi-agent system that actually outperforms a single high-end model for complex coding or reasoning tasks? Or is the ‘swarm’ approach still mostly theoretical/overkill for most use cases? submitted by /u/HarrisonAIx
Originally posted by u/HarrisonAIx on r/ArtificialInteligence
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