In ChatGPT, a token refers to a sequence of characters or symbols that represents a single unit of meaning in the input text. The input text is first preprocessed by splitting it into individual tokens, where each token is assigned a unique identifier.
The tokens are then fed into the language model as input, and the model uses them to generate a response. The tokenization process helps the model to understand the structure and meaning of the input text, as well as to generate more accurate and relevant responses.
In the case of ChatGPT, the tokenization process is typically done using byte-pair encoding (BPE), which is a widely used technique for tokenization in natural language processing (NLP). BPE works by iteratively merging the most frequent pairs of adjacent characters or subwords in the input text until a desired vocabulary size is reached. This allows the model to capture both the individual characters and the larger subword units that are commonly used in the input text, making it more effective at handling a wide range of natural language tasks.
Also read: How to Learn Anything With ChatGPT?
