Kelegan | Tech Fluency for an Evolving World

Definition Gradient descent is an optimization algorithm widely used to train machine learning models and neural networks by minimizing errors between predicted and actual results. As models process training data, the cost function measures accuracy w…

Definition In artificial intelligence, grounding is the process through which an AI system links its outputs to real-world knowledge and relevant data. In other words, grounding makes sure that an AI model produces credible information that is current…

Definition An AI hallucination is an output produced by an AI model that is far from reality or lacks credibility. Simply put, it is a situation where a model gives a wrong answer, makes up a story, or produces output that doesn’t make sense. Hallucin…

Definition Hidden layers are intermediary layers in a neural network. That is, they are in between the input layer and the output layer. The term 'hidden' means these layers are not directly observable. They constitute the foundation of artifi…

Definition In machine learning, hyperparameters are settings or configurations in a model that are not learned during the training process but are rather set before the start of the training process. They influence how a model is trained and can signi…

Definition Hyperparameter tuning is the process of finding the best possible settings for your machine learning model in order to improve performance. It assists you to select the right values for settings such as learning rate, batch size, or tree de…

Definition Image Captioning is a computer vision and natural language process that generates a textual description for a given image. The goal of the process is to describe the content of an image in a way that is meaningful and contextually relevant …