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Scaling smart: How LLM developers are solving multi-agent orchestration bottlenecks

AI models are hitting a bottleneck, where raw parameter scaling to improve their performance no longer cuts it. Performance improvements per doubling of AI…

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AI models are hitting a bottleneck, where raw parameter scaling to improve their performance no longer cuts it. Performance improvements per doubling of AI model parameters are gradually diminishing, leaving multi-agent coordination as the next option. Multi-agent coordination implies two or more AI models working together and sharing data to... Weiterlesen: Scaling smart: How LLM developers are solving multi-agent orchestrati…

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