Generative AI use cases for the enterprise
IBM Journey to AI blog
FEBRUARY 13, 2024
Automate tedious, repetitive tasks. 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. The result will be unusable if a user prompts the model to write a factual news article.
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