Create incredible AI portraits and headshots of yourself, your loved ones, dead relatives (or really anyone) in stunning 8K quality. (Get started for free)
What are some examples of generative AI programs and how do they differ from discriminative AI models
Generative AI programs are artificial intelligence models that can create new, realistic artifacts, such as images, video, music, speech, text, software code, and product designs, based on existing data. These models learn patterns from the training data and generate new content that reflects those patterns but does not repeat it. Generative AI uses various techniques, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers, to generate novel content.
Generative AI models differ from discriminative AI models, which are trained to recognize patterns in existing data and make predictions based on those patterns. Discriminative models are trained on labeled data, where the correct output is already known, and they learn to map inputs to outputs based on that data. Generative models, on the other hand, are trained on unlabeled data, and they learn to generate new outputs that are similar to the training data but not necessarily identical to it.
Examples of generative AI programs include ChatGPT, DALL-E, and generative AI models used in Microsoft Office, Google Photos, and Adobe Photoshop. These models have been used to generate realistic images, videos, music, and text, and they have various applications in industries such as entertainment, advertising, and healthcare.
Generative AI has gained popularity in recent years due to the simplicity of new user interfaces that allow users to create high-quality text, graphics, and videos in a matter of seconds. However, it's important to note that generative AI models can also have limitations and biases, and their use should be approached responsibly.
Create incredible AI portraits and headshots of yourself, your loved ones, dead relatives (or really anyone) in stunning 8K quality. (Get started for free)