Generative Pre-trained Transformer
Generative Pre-trained Transformer (GPT) is a family of large-scale language models developed by OpenAI. GPT models are based on a transformer architecture that has been pre-trained on vast amounts of text data using unsupervised learning. The pre-training process involves training the model to predict missing words or next words in a sentence and then fine-tuning the model on a specific downstream task such as language translation, text classification, or question answering.
GPT-3, the latest and largest version of the GPT model, has been trained on a massive corpus of text data that includes books, articles, and websites, and contains 175 billion parameters, making it one of the largest language models ever created. GPT-3 can generate human-like text, complete sentences, paragraphs, and even entire articles, and can perform a wide range of NLP tasks with remarkable accuracy.
The success of GPT models has sparked significant interest in the field of natural language processing and has led to the development of many other large-scale language models that are now being used in a wide range of applications, from chatbots and virtual assistants to text analysis and summarization tools.
