Tokens are the fundamental units of text that Large Language Models (LLMs) process, not individual words. LLMs break down text into these smaller chunks to handle various languages, rare words, and code more efficiently. Understanding tokens is crucial for optimizing costs, as most AI providers charge based on token usage, and for improving performance by managing the model's context window and processing speed. AI
IMPACT Understanding tokenization is key for developers to optimize LLM costs and performance in production applications.
RANK_REASON The article explains a core concept in LLMs without announcing a new model or research.
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