Tokenization Explained Simply | How AI Reads Text

Tokenization is a crucial step in natural language processing that converts text into smaller units called tokens, which are then converted into numerical representations called embeddings and processed by language models to understand context and generate text. The video explains different tokenization methods, including word level, subword, character level, and byte level tokenization, and their applications in language models. By understanding tokenization, viewers can build and optimize lang