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What is Decoder? Decoder in the Transformer model utilizes the hidden states from the encoder to generate sequential output tokens. The decoder…

Encoder in the Transformer model? The article introduces the encoder in the Transformer model. The encoder converts tokens from a sentence into…

What is Attention in Transformers? The attention mechanism is a core and innovative idea that empowers transformer models. Attention helps the model…

Positional encoding is a crucial feature in the transformer architecture. It helps represent the position of each token in a sentence through…

The transformer is an advanced neural network architecture based on the principles of deep learning. It has the ability to model complex…

Surrogate Strategy in Handling Missing Data In machine learning and data mining, the surrogate strategy is a method used to address missing…

Decision tree is one of the fundamental topics in the field of data science and machine learning. Decision trees have been widely…

Generative AI stands at the forefront of Artificial Intelligence (AI), dedicated to generating new data, including images, text, music, and various other…