Your question is Tokenization and Token Cost. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're working with transformer-based language models and need to reason about how raw text becomes model input. A practical understanding of tokenization matters because it affects both model behavior and system efficiency.
Explain the concept of tokenization. How do tokenizers handle out-of-vocabulary words, and how does token count impact cost and latency?