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xmemory tests Jev as an extraction judge

xmemory shares its approach to choosing the right model for each step, and reports testing TypeSafe's Jev as a judge for extracted data: it recovered 81% of the accuracy gap while sending only 38% of the data (truncated).

The right model for the right step. That’s how we build memory at xmemory – benchmarking for quality, cost, and latency. We tested @typesafeai's Jev as a judge of extracted data. It recovered 81% of the accuracy gap between a fast and a slow extractor while sending only 38% of

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