The Difference Between ChatGPT and GPT-3
ChatGPT was announced a few days ago, and it has been a big topic of discussion in the tech world, for good reason.
In case you have been following along, and were confused about the difference between ChatGPT, which is a new demonstration of this type of technology, and GPT-3, which had already been in use in a variety of contexts.
I asked ChatGPT about that difference, and this is what it said:
ChatGPT and GPT-3 are both large language models trained by OpenAI, but they have some key differences. GPT-3, or Generative Pretrained Transformer 3, is the third generation of OpenAI’s GPT language model, and it is one of the most powerful language models currently available. It can be fine-tuned for a wide range of natural language processing tasks, including language translation, text summarization, and question answering.
ChatGPT, on the other hand, is a variant of the GPT-3 model specifically designed for chatbot applications. It has been trained on a large dataset of conversational text, so it is able to generate responses that are more appropriate for use in a chatbot context. ChatGPT is also capable of inserting appropriate context-specific responses in conversations, making it more effective at maintaining a coherent conversation.
In terms of performance, ChatGPT is not as powerful as GPT-3, but it is better suited for chatbot applications. It is also generally faster and more efficient than GPT-3, which makes it a better choice for use in real-time chatbot systems. Overall, ChatGPT and GPT-3 are both powerful language models, but they are designed for different purposes and have different strengths and weaknesses.
Emphasis is my own.