The rise of compound AI systems like 'Reid AI' brings immense power, but also a critical challenge: attributing errors. Existing methods like SHAP are prohibitively expensive and slow for these distributed architectures. A new paper introduces BOHM, a 'Zero-Cost Hierarchical Attribution' method that extracts component responsibility directly from routing weights, offering multi-resolution insights without…
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