📄 中文摘要
ChatGPT 并不是一个搜索引擎或预先编写答案的巨大数据库，而是一个预测引擎。它通过计算在文本序列中下一个最可能出现的“标记”来生成文本。ChatGPT 采用标记化的方式，将文本切分成独特的标记，并为每个标记分配一个唯一的 ID。常见词汇（如“the”）会获得自己的 ID，而稀有或复杂的词汇（如“生物发光”）则被切分为子标记，每个子标记也有自己的 ID。这一过程并非随机字典，而是基于字节对编码（BPE）算法，经过大量数据训练而成。
ChatGPT 如何实际预测词语（简单解释）
出处: How ChatGPT Actually Predicts Words (Explained Simply)
发布: 2026年3月4日
📄 English Summary
How ChatGPT Actually Predicts Words (Explained Simply)
ChatGPT is neither a search engine nor a vast database of pre-written answers; it functions as a prediction engine. It generates text by calculating the most statistically probable 'token' that should follow in a sequence. The model uses a process called tokenization, which breaks down text into unique tokens and assigns each a unique ID. Common words, like 'the', receive their own IDs due to their frequent occurrence, while rare or complex words, such as 'bioluminescence', are split into sub-tokens, each with its own ID. This system is not a random dictionary but is built using Byte-Pair Encoding (BPE), a sub-word algorithm trained on massive datasets.