NLP

An embedding (or vector embedding) is a way to represent words, sentences, or other data as dense numerical vectors in a high-dimensional space so that similar items end up close together.

Greedy decoding is a text generation strategy in NLP where, at each step, the model selects the single token with the highest probability as the next output.

Named Entity Recognition (NER) is a natural language processing task that automatically finds and classifies specific names and terms in text into categories like people, organizations, locations, or dates.