Tokenization in GPT: Breaking Text into Digestible Pieces

Tokenization in GPT is the crucial process of converting human text into smaller units called tokens, which serve as the fundamental building blocks that language models can understand and process.

Tokens are the smallest units of text that GPT models process.

• Individual words like "hello" or "computer"

• Single characters like "a" or "?"

• Punctuation marks like "." or ","

• Spaces between words

For example, the sentence "I love programming!" might be tokenized into: ["I", " love", " programming", "!"]