Perplexity vs. ChatGPT serve different purposes and are not inherently better or worse than each other.
Perplexity AI typically refers to a metric used to evaluate the performance of language models, including ChatGPT. Perplexity measures how well a language model predicts a sample of text. Lower perplexity values indicate that the model is better at predicting the next word in a sequence and therefore has a better understanding of the language.
On the other hand, ChatGPT is a specific implementation of a language model that is designed for conversational purposes. It is trained on a vast amount of text data to generate human-like responses to user inputs.
In summary, perplexity AI is a metric used to evaluate language models like ChatGPT, but they serve different purposes. Perplexity measures the model's performance, while ChatGPT is an actual implementation of a language model used for generating text.