Term #2,287

Vectorized manuscript

Origin matter: BRT-PAT-2-PROV

Claim Term Vectorized manuscript
Reference Case 1 BRT_PAT-2-PROV
Date Added 7/15/25
Created 7/15/25, 5:37 PM
Modified 7/15/25, 6:27 PM
Full Desc
"Vectorized manuscript" refers to a representation of a manuscript in a numerical vector format suitable for processing by an artificial intelligence system, neural network, or other machine learning-based computing architecture. A vectorized manuscript may be derived through a transformation pipeline that includes tokenizing the textual content of the manuscript into discrete components (e.g., words, sub words, or tokens), mapping those components to embedding vectors in a high-dimensional space, and assembling the resulting sequence of vectors into a structured format for further computation. The vectorized manuscript may preserve semantic, syntactic, contextual, or positional relationships present in the original manuscript, allowing the system to perform tasks such as classification, generation, summarization, evaluation, or the like. Synonyms for “vectorized manuscript” may include “embedded manuscript,” “numerically encoded manuscript,” “manuscript embeddings,” “manuscript feature vector representation,” or the like. (Defined in conjunction with ChatGPT 4o Version, July 15, 2025.)

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BRT-PAT-2-PROV Defined App terms