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Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.
In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.
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SPARK is a formally defined computer programming language based on the Ada language, intended for developing high integrity software used in systems where predictable and highly reliable operation is essential.
A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.
Being the first time he made an animal a major character and the first time he showed one in battle, Araki used Yoshihiro Takahashi's Ginga: Nagareboshi Gin as a reference. [ 13 ] With the series meant to be long-running, Araki took great care in deciding which unique Stand user to put the main cast against and when, in order to keep readers ...
In C and many derivative programming languages, a string escape sequence is a series of two or more characters, starting with a backslash \. [3]Note that in C a backslash immediately followed by a newline does not constitute an escape sequence, but splices physical source lines into logical ones in the second translation phase, whereas string escape sequences are converted in the fifth ...
Furthermore, a "character" may require more than one code point (for instance with combining characters), depending on what is meant by the word "character". The fact that a character was historically stored in a single byte led to the two terms ("char" and "character") being used interchangeably in most documentation.