ChatGPT is able to understand different languages through a process called "multilingual training". This involves training the NLP model on a large corpus of text in multiple languages, which allows the model to learn the underlying patterns and structures of language across different languages.
During the training process, the model is exposed to text in various languages and learns to identify common patterns and features that are shared across languages, such as grammar rules, sentence structures, and vocabulary. This allows the model to develop a general understanding of language that can be applied across multiple languages.
In addition to multilingual training, ChatGPT also uses techniques such as language modeling and neural machine translation to understand and generate text in different languages. These techniques involve using statistical models and machine learning algorithms to analyze and generate text in different languages based on the patterns and structures learned during the training process.
Overall, ChatGPT's ability to understand different languages is a result of its sophisticated training algorithms and its ability to learn from large amounts of text data in multiple languages.