Turning raw scores into probabilities

Teach a model to assign labels to text — from spam detection to sentiment analysis

Encode an input sequence and decode an output — the architecture behind translation

Identify and classify named entities — people, places, organizations — in running text

Predict the next token — the objective that powers GPT, BERT, and modern NLP

Mask a word, predict it from both sides — how BERT learns deep bidirectional representations