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1. blogs.nvidia.com › blog › what-is-a-transformer-modelWhat Is a Transformer Model? | NVIDIA Blogs

   blogs.nvidia.com › blog › what-is-a-transformer-model

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   25. März 2022 · Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data elements in a series influence and depend on each other. First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date.

2. pypi.org › project › transformerstransformers · PyPI

   pypi.org › project › transformers

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   17. Aug. 2016 · Citation. We now have a paper you can cite for the 🤗 Transformers library:. @inproceedings {wolf-etal-2020-transformers, title = "Transformers: State-of-the-Art Natural Language Processing", author = "Thomas Wolf and Lysandre Debut and Victor Sanh and Julien Chaumond and Clement Delangue and Anthony Moi and Pierric Cistac and Tim Rault and Rémi Louf and Morgan Funtowicz and Joe Davison and ...

3. de.wikipedia.org › wiki › Transformers_3Transformers 3 – Wikipedia

   de.wikipedia.org › wiki › Transformers_3

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   Transformers 3. Transformers 3 (dt. Untertitel: Die dunkle Seite des Mondes; Originaltitel: Transformers: Dark of the Moon) ist ein US-amerikanischer Action- und Science-Fiction-Film aus dem Jahr 2011, der die Fortsetzung der Filme Transformers (2007) und Transformers – Die Rache (2009) darstellt und genau wie diese auf den gleichnamigen ...

4. www.datacamp.com › tutorial › how-transformers-workHow Transformers Work: A Detailed Exploration of Transformer ......

   www.datacamp.com › tutorial › how-transformers-work

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   To put it simply: A transformer is a type of artificial intelligence model that learns to understand and generate human-like text by analyzing patterns in large amounts of text data. Transformers are a current state-of-the-art NLP model and are considered the evolution of the encoder-decoder architecture.

5. byjus.com › jee › transformerTransformer - Definition, Types, Working Principle, Diagram

   byjus.com › jee › transformer

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   Working Principle of a Transformer. The transformer works on the principle of Faraday’s law of electromagnetic induction and mutual induction. There are usually two coils – primary coil and secondary coil – on the transformer core. The core laminations are joined in the form of strips. The two coils have high mutual inductance.

6. arxiv.org › abs › 2106[2106.04554] A Survey of Transformers - arXiv.org

   arxiv.org › abs › 2106

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   8. Juni 2021 · Transformers have achieved great success in many artificial intelligence fields, such as natural language processing, computer vision, and audio processing. Therefore, it is natural to attract lots of interest from academic and industry researchers. Up to the present, a great variety of Transformer variants (a.k.a. X-formers) have been proposed, however, a systematic and comprehensive ...

7. builtin.com › artificial-intelligence › transformer-neural-networkTransformer Neural Networks: A Step-by-Step Breakdown

   builtin.com › artificial-intelligence › transformer-neural-network

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   24. Mai 2024 · The transformer neural network is a novel architecture that aims to solve sequence-to-sequence tasks while handling long-range dependencies with ease. It was first proposed in the paper “ Attention Is All You Need ” and is now a state-of-the-art technique in the field of natural language processing (NLP).