Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...
Key Takeaways Reproducing errors consistently makes analyzing and fixing issues easier and more structured.Tools like debuggers, logs, and performance monitors ...
Google Research tried to answer the question of how to design agent systems for optimal performance by running a controlled evaluation of 180 agent configurations. From this, the team derived what ...
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