AI Fundamentals: Tokens, Vectors, and Embeddings Explained for Developers

Tokens are small text pieces that AI models process, often subwords like 'play' and 'ing'. Tokenizers split text into tokens using methods like BPE or WordPiece. Each token is then converted into a numerical vector, or embedding, that the model can understand.