What is the transformer model structure in NLP?

The Transformer model structure has largely replaced other NLP model implementations such as RNNs. Current SOTA NLP models use the Transformer architecture in part or as a whole. The GPT model only uses the decoder of the Transformer structure (unidirectional), while BERT is based on the Transformer encoder (bidirectional).

What is a-a Transformer architecture?

A Transformer is a type of neural network architecture developed by Vaswani et al. in 2017 [1]. Without going into too much detail, this model architecture consists of a multi-head self-attention mechanism combined with an encoder-decoder structure.

Does Sota NLP use the Transformer architecture?

Current SOTA NLP models use the Transformer architecture in part or as a whole. The GPT model only uses the decoder of the Transformer structure (unidirectional) [2], while BERT is based on the Transformer encoder (bidirectional) [4]. T5 utilizes an encoder-decoder Transformer structure very similar to the original implementation [3].

Can the transformer be used for image recognition?

Initially, the Transformer was developed for NLP tasks and applied by Vaswani et al. to machine translation [1]. However, it has been adapted for image recognition and other areas too. For more details on the exact mechanisms and functioning of the Transformer, take a look at these in-depth explanations:

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Jie Hao’s Volkswagen Touran TSI Owners' Rides

Jie Hao’s Volkswagen Touran is a second-generation ‘5T’ model, with a 1.4-litre turbocharged engine and 7-speed ‘DSG’ dual-clutch transmission. Sitting on a the newer Volkswagen Group ‘MQB’ platform, it offers more space and better fuel economy than the model it replaced. Aesthetics and safety are a top priority for Jie Hao when ...

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Frequently Asked Questions

What is the transformer model structure in NLP?

The Transformer model structure has largely replaced other NLP model implementations such as RNNs. Current SOTA NLP models use the Transformer architecture in part or as a whole. The GPT model only uses the decoder of the Transformer structure (unidirectional), while BERT is based on the Transformer encoder (bidirectional).
What is a-a Transformer architecture?

A Transformer is a type of neural network architecture developed by Vaswani et al. in 2017 [1]. Without going into too much detail, this model architecture consists of a multi-head self-attention mechanism combined with an encoder-decoder structure.
Does Sota NLP use the Transformer architecture?

Current SOTA NLP models use the Transformer architecture in part or as a whole. The GPT model only uses the decoder of the Transformer structure (unidirectional) [2], while BERT is based on the Transformer encoder (bidirectional) [4]. T5 utilizes an encoder-decoder Transformer structure very similar to the original implementation [3].
Can the transformer be used for image recognition?

Initially, the Transformer was developed for NLP tasks and applied by Vaswani et al. to machine translation [1]. However, it has been adapted for image recognition and other areas too. For more details on the exact mechanisms and functioning of the Transformer, take a look at these in-depth explanations: