LLM

What is tokenization ? Machine learning models operate on numerical representations of input data. Language models, such as LLMs, work with text input. Tokenization is the process of converting the text into smaller chunks called tokens, which are then assigned numerical representations. The collection of unique tokens forms what we call a vocabulary. It is essentially a dictionary that maps each token to a unique integer. The size of the vocabulary is determined by the number of unique tokens in the corpus....