Unverified50% confidenceFactExact time
A tokenizer is the underlying component through which a large language model processes text, responsible for splitting the raw string into a sequence of tokens the model can recognize and mapping them to integer IDs.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe context of a large language model is essentially the total amount of information the model can process in a single inference, typically measured in the number of tokens.78% similarVerifiedToken是大语言模型处理文本的基本计量单位,由BPE(字节对编码)等分词算法生成77% similarVerifiedLarge models process text using Token (word element) as the minimum processing unit, with tokenizers handling the segmentation.77% similarVerifiedTokens are the basis for billing by large models; they are produced by a tokenizer splitting raw text and are the basic unit by which large models process text.76% similarUnverified在AI大模型时代,Token是一种信息单位(词元),大语言模型通过分词器将输入文本拆分成Token序列76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1009727API
curl https://kongchang.com/api/v1/knowledge/claims/1009727MCP
get_claim(id=1009727)