1 token is not 1 word: LLM conversion rates that predict your bill
The exact token-to-word and token-to-character conversion rates for English, code, and non-English LLM input, plus a practical counting recipe.
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The exact token-to-word and token-to-character conversion rates for English, code, and non-English LLM input, plus a practical counting recipe.
RAG has 3 moving parts: ingestion, retrieval, and generation. Here's what each does, when RAG beats fine-tuning, and when to skip it entirely.
The context window is your LLM's working memory per call. What 128k tokens actually fits, why usable size is smaller than advertised, and how to check yours.