🎯 Key Takeaways for quick navigation: 00:00 🤖 *Tokens are chunks of text that a model reads or generates, representing words, subwords, or characters depending on the tokenization method.* 00:26 🛡️ *Tokenization breaks down sentences into manageable pieces for models to process.* 01:06 📊 *Tokenization splits words into smaller tokens, typically making any word with fewer than five characters a single token and splitting longer words into meaningful subtokens.* 02:06 🧩 *Tokens are used in the processing and generation of text by large language models like OpenAI's.*
