GPT models are deep learning-based language models developed by OpenAI that can perform various natural language processing tasks.
These models require very few or no examples to understand tasks and can perform at or above the level of state-of-the-art models trained in a supervised fashion.
GPT model: Generative Pre-trained Transformer, a deep learning-based language model created by OpenAI that can perform various natural language processing tasks.
Transformer: An artificial neural network capable of handling sequential data such as text, used in GPT models.
Attention mechanism: A technique used in transformer models to focus on specific parts of a text sequence when making decisions.
Neural network: A computing system inspired by the structure and function of the human brain, used as the basis for GPT models.
Natural Language Processing (NLP): A field of artificial intelligence that focuses on the interaction between computers and human language, allowing computers to understand, interpret, and generate human language.