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Describe the Transformer architecture used in modern LLMs.
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Answer / Avinash Tripathi
The Transformer architecture is a type of multi-layer neural network used in modern Language Models (LLM). It consists of self-attention mechanisms that allow the model to focus on different parts of the input sequence simultaneously. Each position in the input sequence generates a weighted sum of all other positions, thus creating a kind of 'attention map'. The Transformer also uses positional encodings to provide the model with information about the relative position of words within the input sequence.
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