Generative AI and discriminative AI represent distinct approaches within the field of artificial intelligence (AI). Let’s delve into their differences: Generative AI: Definition: Generative AI creates new data based on existing patterns. It generates content (such as text, images, or music) that did not previously exist. Process: It learns the underlying distribution of the data and then generates new samples from that distribution. Examples: Language models like ChatGPT, image generators, and music composition models fall under generative AI. Use Cases: Creative applications, content generation, and artistic endeavors benefit from generative AI. Analogy: Think of it as the “creative” side of AI. Discriminative AI: Definition: Discriminative AI makes predictions or classifications based on existing data. It doesn’t create new content but rather distinguishes between different categories. Process: It learns decision boundaries between data points to predict outcomes. Examples: Im...
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