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. Invest in data hygiene and collection strategies to keep your engine running smoothly. Garbage in, garbage out.
122 
Let's personalize your content