Open-sourcing PAIR: building trustworthy evals on your own data, fair across vendors

kalyan_kpl · x · 2026-11-10

One line of sarcasm sums up today's eval landscape: "Everyone is #1 on their benchmark."

The quoted post announces PAIR, an open-source tool for building parse evals you can trust on your own data, designed to be fair across vendors and generalizable across datasets — a direct answer to vendors cherry-picking benchmarks to crown themselves. A practical open-source release in the eval-engineering space.

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