Introduction Language is at the heart of human communication—and in today's digital world, making sense of language at scale is…
What Are Embedding Models? At their core, embedding models are tools that convert complex data—such as words, sentences, images, or…
What Are Vector Embeddings? Imagine trying to explain to a computer that the words "cat" and "dog" are more similar…
Introduction Imagine trying to understand what someone said over a noisy phone call or deciphering a DNA sequence from partial…
What is Structured Prediction? In traditional machine learning tasks like classification or regression a model predicts a single label or…
What is Anomaly Detection in LLMs? Anomaly detection in the context of Large Language Models (LLMs) involves identifying outputs, patterns,…
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 Multi-Task Learning? Multi-TaskMulti-task learning (MTL) is a machine learning approach in which a single model is trained to…
What is Text Representation? Text representation refers to how text data is structured and encoded so that machines can process…