What generative AI is and what it is not

At its core, generative AI refers to AI systems capable of generating new, original content, such as text, images, audio, or code, based on the training data they have been exposed to. Generative AI models are trained on large datasets of existing content, and they learn the patterns and relationships within that data. When prompted, these models can then generate new, original content that resembles the training data but is not an exact copy of any specific example.

This contrasts with traditional machine learning models, which are focused on making predictions or classifications based on existing data.

Traditional machine learning models, such as those used for image recognition, natural language processing, or predictive analytics, are designed to take in input data and make predictions or classifications based on that data. Machine learning models excel at tasks such as classification (e.g., identifying objects in images or topics...