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LLM Tokenization Guides
Practical articles on how large language models tokenize text, how to measure token usage, and techniques to write more efficient prompts.
Guide
What is LLM Tokenization? A Plain-English Explanation
Byte Pair Encoding, subword units, vocabulary size — explained without the jargon. Learn why the same word can cost 1 or 4 tokens depending on context.
Read article → How-toHow to Count Tokens for GPT-4, GPT-4o & ChatGPT
Four methods to count tokens accurately before you make an API call — from Python libraries to browser tools. Includes context window limits for every major model.
Read article → TipsHow to Reduce Token Count in LLM Prompts
Nine practical techniques to trim 20–40% of tokens from system prompts and user messages without losing effectiveness. Side-by-side before/after examples included.
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