GPT

GPT

“GPT” stands for “Generative Pre-trained Transformer.” It’s a type of artificial intelligence model developed by OpenAI. GPT models are part of a family of large-scale language models trained using deep learning techniques, particularly the transformer architecture.

The “pre-trained” aspect means that the model is first trained on a large corpus of text data using unsupervised learning techniques, such as self-supervised learning or semi-supervised learning. During pre-training, the model learns to understand the structure and semantics of natural language by predicting missing words in sentences or generating text based on context.

The “generative” aspect refers to the model’s ability to generate human-like text based on input prompts. GPT models can generate coherent and contextually relevant text by predicting the most likely next word or sequence of words given a starting prompt or context.

The “transformer” architecture is a deep learning architecture specifically designed for sequence-to-sequence tasks, such as language translation and text generation. Transformers are composed of multiple layers of self-attention mechanisms, which enable the model to capture long-range dependencies and relationships within sequences of data, such as words in a sentence or tokens in a document.