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Example of a web form with name-value pairs. A name–value pair, also called an attribute–value pair, key–value pair, or field–value pair, is a fundamental data representation in computing systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data.
Hugging Face, Inc. is an American company that develops computation tools for building applications using machine learning. It is incorporated under the Delaware General Corporation Law [ 1 ] and based in New York City .
BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3]
[citation needed] EJS was inspired by templating systems like ERB ( also known as Embedded Ruby) used in Ruby on Rails, which also allows code embedding within HTML. [4] ELS was created for JavaScript developers to create server-rendered HTML pages in an easy and familiar way, likely other templating engines available in other programming ...
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.
Nashorn [ˈnaːsˌhɔɐ̯n] ("nahss-horn") is the German translation of rhinoceros, a play on words on Rhino, the name of a JavaScript engine implemented in Java and provided by Mozilla Foundation. The latter gets its name from the animal on the cover of the JavaScript book from O'Reilly Media. [13]
The three embedding vectors are added together representing the initial token representation as a function of these three pieces of information. After embedding, the vector representation is normalized using a LayerNorm operation, outputting a 768-dimensional vector for each input token. After this, the representation vectors are passed forward ...
GPT-J or GPT-J-6B is an open-source large language model (LLM) developed by EleutherAI in 2021. [1] As the name suggests, it is a generative pre-trained transformer model designed to produce human-like text that continues from a prompt.