N-Shot LearningN-Shot Learning is a machine learning paradigm where a model is trained or evaluated on its ability to recognize new concepts or perform new tasks given only $n$ labeled examples. The variable $n$ (the "shot") represents the number of training samples provided for each category the model must learn. Read More
Natural Language Ambiguity(NLA)Natural Language Ambiguity (NLA) is a fundamental characteristic of human communication where a single word, phrase, or sentence can be interpreted in more than one way. While the human brain resolves most ambiguities instantly using common sense and context, it remains one of the most significant challenges for Artificial Intelligence Read More
Natural Language Generation(NLG)Natural Language Generation (NLG) is a subfield of Artificial Intelligence that focuses on the autonomous creation of human-like text or speech from non-linguistic data. While NLU acts as the "ears" (understanding what is said), NLG acts as the "Mouth" of the AI Read More
Natural Language Processing (NLP)Natural Language Processing (NLP) is a multidisciplinary field of Artificial Intelligence (AI) that focuses on the interaction between computers and human language. Its primary goal is to enable machines to read, decipher, understand, and make sense of human languages in a way that is valuable Read More
Neural NetworkA Neural Network (also called an Artificial Neural Network or ANN) is a computational model inspired by the biological structure and functioning of the human brain. It consists of interconnected layers of "neurons" (nodes) that process information through mathematical weightings Read More
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