Kelegan | Tech Fluency for an Evolving World

Definition Regularization is a technique that is used in artificial intelligence and machine learning to enhance accuracy of models by stopping overfitting. Overfitting occurs when a model learns the training data too well including noise and outlie…

Definition Responsible AI is an approach to designing, developing, deploying, and using AI systems based on a frame work of principles that covers the broader societal impact of AI systems and the measures needed to reduce risks and negative outcome…

Definition RoBERTa, which is an abbreviation for “Robustly Optimized BERT Approach”, is an enhanced version of BERT (Bidirectional Encoder Representations from Transformers) model. Like BERT, RoBERTa is a transformer-based language model that uses s…

Definition In the field of artificial intelligence, self-supervised learning is a type of machine learning that is midway between supervised learning (which requires labeled data) and unsupervised learning (which finds patterns without labels). That…

Definition In Artificial Intelligence, semantics is an area that uses both machine learning (ML) and natural language processing (NLP) to understand and process human language at a level similar to humans. Semantics involves comprehending meaning of w…

Definition Semantic Annotation entails the practice of adding metadata to digital content (such as text, images, or video) which conveys a deeper, context-specific understanding of the content beyond simple categorization. The added metadata reflect…

Definition A semantic network is a type of knowledge representation that shows how concepts are related to each other. In the field of Artificial Intelligence, it structures and organizes data, enabling machines to interpret, process, and use it for…