Implementation
Hugging Face
tokenizers v1: encode, decode and scaling, measured
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Opening the reading room…
Practical lessons, original research, and the details that make systems work.
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Output quality is important when working with AI coding agents, but true efficiency comes from getting work done quickly, efficiently, and with the right context. That’s why token count of individual interactions alone isn’t a meaningful measure of efficiency. The goal shouldn’t be to use fewer tokens, but to tap into the right amount of context to