Tokens and Tokenization are an Important for Fundamental LLM Understanding

Tokens are the fundamental units that LLMs process. Instead of working with raw text (characters or whole words), LLMs convert input text into a sequence of numeric IDs called tokens using a model-specific tokenizer. A single token typically represents a common word like (“hello”) a subword (“un” + “derstanding”) a punctuation mark or space and … Read more