Introduction To Transformers ! Table Of Contents: What Is Transformers? History Of Transformers. Impact Of Transformers In NLP. Democratizing AI. Multimodel Capability Of Transformers. Acceleration Of GenAI. Unification Of Deep Learning. Why Transformers Are Created? Neural Machine Translation Jointly Learning To Align & Translate. Attention Is All You Need. The Time Line Of Transformers. The Advantages Of Transformers. Real World Applications Of Transformers. Disadvantages Of Transformers. The Future Of Transformers. (1) What Is Transformers? Transformers is basically a Neural Network Architecture. In deep learning, we have already studied the ANN, CNN & RNN. ANN works for the cross-sectional data, CNN

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