Dev Anand on Instagram: "Tokenization is important because AI models operate on numerical representations, not raw text. To convert language into numbers efficiently, text must be broken into meaningful, reusable units. Simply breaking text into words is not true tokenization because words are too many and too variable. A word-level approach treats every variation as a new symbol, which leads to an unnecessarily large vocabulary, poor generalization, and inefficient learning. Tokenization instea