Generative AI explores advanced machine learning models capable of producing novel content, including text, images, audio, and code. This rapidly evolving field...
Generative AI refers to artificial intelligence systems capable of creating new, original content, such as text, images, audio, video, or code, rather than simply analyzing existing data.
It typically uses deep learning models, like Generative Adversarial Networks (GANs) or Transformers, trained on large datasets to learn patterns and structures. This allows them to produce new outputs that mimic the characteristics of the training data.
Applications include generating realistic images (e.g., AI art), writing articles, composing music, designing new products, creating synthetic data for training other AI models, and automating various creative tasks.
Key concerns include potential for misinformation (deepfakes), copyright infringement, bias in generated content due to biased training data, job displacement, and the environmental impact of large model training.