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The golden set: the one evaluation every AI purchase needs

Public benchmarks cannot tell you how a system will handle your documents and your edge cases. A few hundred of your own examples can, and they keep paying for themselves after launch.

By IAIM Editorial · · 4 min read

Sources

  1. Stanford HAI, "AI Index Report 2025" (April 2025): benchmark convergence and saturation (opens in a new tab) hai.stanford.edu
  2. NIST, Generative Artificial Intelligence Profile, NIST AI 600-1 (July 2024) (opens in a new tab) nvlpubs.nist.gov
  3. CTV News, "Air Canada's chatbot gave a B.C. man the wrong information. Now, the airline has to pay for the mistake" (February 2024), on Moffatt v. Air Canada, 2024 BCCRT 149 (opens in a new tab) bc.ctvnews.ca

IAIM articles are educational and are not legal advice.

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