GPT-J

GPT-J is a type of language model developed by EleutherAI, which is based on the transformer architecture. It is an open-source variant of the Generative Pre-trained Transformer (GPT) models. Specifically, GPT-J has 6 billion parameters and is designed to generate human-like text based on the input it receives. The model is trained on a diverse dataset, allowing it to understand and produce a wide range of text and respond coherently to prompts. GPT-J can be used for various natural language processing tasks, including text generation, summarization, and dialogue systems. Its open-source nature enables users to access the model freely and modify it for specific applications or to conduct research.