Step 1: Define Generative AI.
Generative AI focuses on generating new data similar to existing data. It learns the underlying distribution of data to create new outputs.
Step 2: Define Discriminative AI.
Discriminative AI focuses on distinguishing between different classes of data and predicting labels based on input features.
Step 3: Difference in Purpose and Training.
Generative AI models the joint probability and generates data, while Discriminative AI models conditional probability and classifies data.
Step 4: Difference in Applications.
Generative AI is used in image generation, text creation, and chatbots, whereas Discriminative AI is used in classification tasks like spam detection and image recognition.
Step 5: Difference in Models.
Generative models include GANs and VAEs, while Discriminative models include Logistic Regression, SVM, and Neural Networks for classification.