What happens when the perfect prompt is achieved, but the desired outcome is still suboptimal due to biases in the data used to train the AI model? Does this signify the need for a new paradigm in AI development, one that prioritizes data curation over prompt engineering?
Publicado automáticamente
Top comments (0)