NLP, Generative Model, Deep Learning, Machine Learning, Python.
probability distribution of words in a language and use this knowledge to generate new text that matches the input’s context. On the other hand, discriminative models map an input to output and are trained on labeled data. These models learn to identify patterns and correlations between the input