Analysis
This article offers a fascinating deep dive into how Generative AI models, especially Large Language Models, interpret and process text using tokens. It elegantly clarifies the difference between bytes, characters, words, and tokens, illuminating the efficiency gains that tokens provide. The explanation of why Chinese text might cost more due to tokenization is particularly insightful.
Key Takeaways
Reference / Citation
View Original"Here's the most important point: tokens are not bytes, characters, or words. They are an intermediate 'subword unit' that balances vocabulary size and sequence length."