A practical pre-launch checklist covering fairness, transparency, privacy and accountability, with ten questions every team should be able to answer before a model goes live.
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Training and running large models consumes real electricity and water, but headline numbers rarely share a boundary. Here are the metrics that actually tell you something.
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