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Word2vec was developed by Tomáš Mikolov and colleagues at Google and published in 2013. Word2vec represents a word as a high-dimension vector of numbers which capture relationships between words. In particular, words which appear in similar contexts are mapped to vectors which are nearby as measured by cosine similarity .
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]
The 500-million download threshold for free applications has been established to maintain the list's manageability and focus on the most widely distributed apps. It's worth noting that many of the applications in this list are distributed pre-installed on top-selling Android devices [ 2 ] and may be considered bloatware by some people because ...
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This is a list of mobile apps developed by Google for its Android operating system. All of these apps are available for free from the Google Play Store, although some may be incompatible with certain devices (even though they may still function from an APK file) and some apps are only available on Pixel and/or Nexus devices.
This is a list of free software which can be used to run alternative web applications. Also listed are similar proprietary web applications that users may be familiar with. Most of this software is server-side software, often running on a web server .
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A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.