Expired50% confidenceFactExact time
Large models internally convert all input into tokens (numeric IDs) for processing, rather than processing text directly.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
From Tokens to Agents: A Deep Dive into the Core Logic Behind AI's Key Concepts
bilibili人工智能AI大模型课程6/8/2026
Related Claims
UnverifiedLarge models process text using Token (word element) as the minimum processing unit, with tokenizers handling the segmentation.70% similarUnverified当前主流大语言模型几乎都采用自回归方式逐 token 顺序生成文本68% similarUnverifiedPure text models are based on the Transformer architecture and only process tokenized text sequences, lacking the encoding pathway to convert pixel information into semantic representations.68% similarUnverified大语言模型的执行层通过 Function Calling（工具调用）机制将 LLM 的文本输出转化为对真实系统的操作指令68% similarUnverifiedLarge language model text generation is an autoregressive serial process that produces only one token at a time, making it impossible to fully parallelize the output stage, with higher computational intensity than the input encoding stage.67% similar
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