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. Teamwork: Assemble a team with expertise in AI, data science and your industry. Imagine training a generative AI model on a dataset of only romance novels.
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