Generative AI: Creating New Data with Incredible Accuracy

You can read the original article here: https://getacon.com/generative-ai-creating-new-data-with-incredible-accuracy-2

Generative AI, or GANs, creates new data by learning patterns from existing datasets. It consists of a generator and discriminator trained together. The generator makes new data resembling the training set, while the discriminator distinguishes real from generated data in adversarial training.

Data labeling is crucial for training, providing labeled examples as a ground truth for desired patterns. Human annotators label data, ensuring accurate training for better output in image, video, music, or language generation.

Generative AI models need human supervision throughout, from dataset curation to model fine-tuning. They produce creative outputs beyond training data but are limited by data quality, diversity, and inherent biases.

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