There are several variations of GPT-3, which range from 125 to 175 billion parameters. The different variations allow the model to better respond to different types of input, such as a question & answer format, long-form writing, human language translations (e.g. English to French). The large numbers of parameters make GPT-3 significantly better at natural language processing and text generation than the prior model, GPT-2, which only had 1.5 billion parameters.