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Azure Search currently supports 56 different languages. Each supported language extension is equipped with a text analyzer to account for differing characteristics pertaining to the specific language. Both analyzers backed by Lucene and analyzers backed by Microsofts natural language processing technology are supported.
Microsoft Azure, or just Azure (/ˈæʒər, ˈeɪʒər/ AZH-ər, AY-zhər, UK also /ˈæzjʊər, ˈeɪzjʊər/ AZ-ure, AY-zure), [5] [6] [7] is the cloud computing platform developed by Microsoft. It has management, access and development of applications and services to individuals, companies, and governments through its global infrastructure.
In 2020, OpenAI announced GPT-3, a language model trained on large internet datasets. GPT-3 is aimed at natural language answering questions, but it can also translate between languages and coherently generate improvised text. It also announced that an associated API, named simply "the API", would form the heart of its first commercial product ...
By Krystal Hu, Anna Tong and Milana Vinn (Reuters) -SoftBank Group is in talks to lead a funding round of up to $40 billion in artificial intelligence developer OpenAI at a valuation of $300 ...
Generative Pre-trained Transformer 3 (GPT-3) is a large language model released by OpenAI in 2020. Like its predecessor, GPT-2 , it is a decoder-only [ 2 ] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as " attention ". [ 3 ]
The OpenAI agreement builds upon PwC's previously announced plans to invest $1 billion in generative AI technology, the company said. OpenAI has been making efforts to add enterprise customers ...
Rapid adoption of generative artificial intelligence technology has led to sky-rocketing demand for AI data centers capable of handling more advanced tasks than traditional data centers. The ...
Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5]