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Generative AI — A Comprehensive Survey
In this article, we explore the significance and implications of generative AI and its intersection with large language models, revolutionizing the landscape of artificial intelligence.
GENERATIVE AI
Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio, and synthetic data.
In supervised learning, testing data values or x are input into the model. The model outputs a prediction and compares that prediction to the training data used to train the model. If the predicted test data values and actual training data values are far apart, that is called error. And the model tries to reduce this error until the predicted and actual values are closer together. This is a classic optimization problem.
Neural networks have the advantage that they can use both labeled and unlabeled data. This is called semi-supervised learning. In semi-supervised learning, a neural network is trained on a small amount of labeled data and a large amount of unlabeled data. The labeled data helps https://medium.com/@ogre51/encoder-decoder-architecture-ca673109243f the neural network to learn the basic concepts of the task while the unlabeled data helps the…
