What Are Embedding Models? At their core, embedding models are tools that convert complex data—such as words, sentences, images, or…
What is Out-of-Distribution Detection? Out-of-Distribution (OOD) detection refers to identifying data that differs significantly from the distribution on which a…
What is Text Annotation? Text annotation is the process of labelling or tagging text data with specific information, making it…
What are Out-of-Vocabulary (OOV) Words? In Natural Language Processing (NLP), Out-of-Vocabulary (OOV) words refer to any words a machine learning…
What is Text Representation? Text representation refers to how text data is structured and encoded so that machines can process…
What is Precision and Recall? When evaluating a classification model's performance, it's crucial to understand its effectiveness at making predictions.…
What is a Confusion Matrix? A confusion matrix is a fundamental tool used in machine learning and statistics to evaluate…
Introduction to Perplexity in NLP In the rapidly evolving field of Natural Language Processing (NLP), evaluating the effectiveness of language…
What are Decision Trees? Decision trees are versatile and intuitive machine learning models for classification and regression tasks. It represents…
What is Full-Text Search? Full-text search is a technique for efficiently and accurately retrieving textual data from large datasets. Unlike…