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In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]
In practice however, BERT's sentence embedding with the [CLS] token achieves poor performance, often worse than simply averaging non-contextual word embeddings. SBERT later achieved superior sentence embedding performance [8] by fine tuning BERT's [CLS] token embeddings through the usage of a siamese neural network architecture on the SNLI dataset.
Similar capabilities to text-davinci-003 but trained with supervised fine-tuning instead of reinforcement learning GPT-3.5 text-davinci-003 Undisclosed Can do any language task with better quality, longer output, and consistent instruction-following than the curie, babbage, or ada models. Also supports inserting completions within text. GPT-3.5
In linguistics, center embedding is the process of embedding a phrase in the middle of another phrase of the same type. This often leads to difficulty with parsing which would be difficult to explain on grammatical grounds alone. The most frequently used example involves embedding a relative clause inside another one as in:
DIANA is also used by PL/SQL, which is based on Ada. DIANA is an abstract data type; its concrete implementations are defined using the IDL specification language. DIANA descends from TCOL and AIDA, earlier representations of Ada programs. The Ada-0 subset of Ada at Karlsruhe (1980) was first using AIDA, [1] but later
Ada Semantic Interphase Specification under the ISO/IEC 8652 Ada 95 Reference Manual (Ada Language Referencing Manual, 1994) is defined as an interface amidst an Aria environment and other tools requiring information from the Aria environment. Features of ASIS based tools could include: [4] high quality code analysis; automated code monitors ...
A# is freely distributed by the Department of Computer Science at the United States Air Force Academy as a service to the Ada community under the terms of the GNU General Public License. AdaCore took over this development in 2007, and announced " GNAT for .NET", which is a fully supported .NET product with all of the features of A# and more. [ 1 ]
PDF is a standard for encoding documents in an "as printed" form that is portable between systems. However, the suitability of a PDF file for archival preservation depends on options chosen when the PDF is created: most notably, whether to embed the necessary fonts for rendering the document; whether to use encryption; and whether to preserve additional information from the original document ...