ChatGPT vs GPT-3 by Merunas

GPT-3 and ChatGPT are both language processing models developed by the company OpenAI. While both models are based on the same underlying technology, there are some key differences between them that are worth noting.

GPT-3, or Generative Pretrained Transformer 3, is a large-scale language model that has been trained on a vast amount of text data. This allows it to generate human-like text that is often difficult to distinguish from text written by a person. GPT-3 is widely used for a variety of tasks, including text generation, language translation, and answering questions.

ChatGPT, on the other hand, is a smaller language model that has been specifically trained for the task of conversational response generation. This means that it is better suited for tasks that require the model to generate responses in the context of a conversation. ChatGPT is often used in chatbots and virtual assistants to provide natural, human-like responses to user inquiries.

One key difference between GPT-3 and ChatGPT is their size. GPT-3 is much larger than ChatGPT, with 175 billion parameters compared to ChatGPT’s 117 million parameters. This means that GPT-3 is able to generate more diverse and complex responses, but it also requires more computational resources to run. ChatGPT, on the other hand, is more lightweight and can be run on a wider range of devices.