Term #2,284
Token sequences
Claim Term
Token sequences
Origin matter
A method for screening manuscripts
Reference Case 1
BRT_PAT-2-PROV
Date Added
7/15/25
Created
7/15/25, 5:30 PM
Modified
7/15/25, 6:26 PM
Full Desc
"Token sequences" refers to ordered collections of tokens produced during the tokenization of input data, such as text, code, or symbolic content, where each token represents a discrete segment of the original input. Synonyms for "token sequences" include token streams, lexical sequences, parsed units, encoded input representations, or the like.
A token sequence may preserve the syntactic, semantic, or contextual structure of the original input and may include one or more tokens that correspond to words, sub words, punctuation marks, or other linguistic or symbolic elements. Token sequences may be represented as arrays, lists, or tensors and may be further transformed into embeddings or vectorized representations for use by artificial intelligence systems, such as large language models, transformer-based networks, neural encoders, or other machine learning pipelines. Token sequences may vary in length and structure depending on the input content, tokenization strategy, language, or model-specific vocabulary, and may include special tokens such as padding tokens, classification tokens, or separators that guide downstream processing. (Defined in conjunction with ChatGPT 4o Version, July 15, 2025.)
Applications using this term
| Matter | Usage | Notes | Actions |
|---|---|---|---|
| BRT-PAT-2-PROV | Defined | — | App terms |