From Fine-Tuning to Red Teaming: The Data Operations Behind Reliable AI Models (opens in new tab)
Reliable AI is built after the model has been selected. The decisive work begins when an organization defines the behavior it expects, creates data that demonstrates that behavior, tests the model under realistic pressure and converts each confirmed failure into evidence for the next improvement cycle.
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