A subset of NLP that focuses on enabling machines to interpret human language beyond just words to understand the meaning and intent.

A type of machine learning process that mimics the human brain, using interconnected nodes in a layered structure.

Software or AI models that are made freely available for anyone to use, modify, and distribute.

The response an AI model generates, whether that be text, an image, or other modality.

The internal variables within an AI model that are learned during the training process.

A performance metric for language models that gauges how well a model predicts words in a sequence.

The act of an AI model predicting the likelihood of a certain outcome, typically framed as probabilities.

An interaction between a human and an AI model that provides the model with sufficient information to generate the user's intended output.

A machine learning approach in which an AI model learns by receiving rewards or penalties based on its actions.

The ethical and responsible use of AI technology, ensuring that AI systems respect human rights, diversity, and privacy.