Generative AI use cases for the enterprise
IBM Services
FEBRUARY 13, 2024
The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial. This can reduce reliance on actual data, which may be sensitive and must remain private or come from an expensive external data source.
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