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2min chapter
Building the Operating System for AI Agents
The Data Exchange with Ben Lorica
Evaluating Performance in Multi-Agent Systems
This chapter explores the complexities of assessing performance in multi-agent systems, highlighting both traditional evaluation limitations and innovative methods using language models. It underscores the advantages of multi-agent setups in providing comprehensive insights into each agent's contributions to collective tasks.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode