Accuracy in machine learning is a measure of how often a model correctly predicts the outcome. It is calculated as the ratio of correct predictions to the total number of predictions made.
Accuracy in machine learning is a measure of how often a model correctly predicts the outcome. It is calculated as the ratio of correct predictions to the total number of predictions made.
Understanding LLMs, image generation, prompting and more.
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