Generative AI use cases for the enterprise
IBM Supply Chain Blog
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. Data: High-quality, relevant data is the fuel that powers generative AI success. Garbage in, garbage out.
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