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Machine Learning Quizzes
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In the original Transformer model, how are self-attention weights calculated for a given token?
In the Transformer architecture, the scaled dot-product attention scales the dot product of the query and key by what factor?
Which component of the Transformer model acts as a gating mechanism, similar to that found in GRUs and LSTMs?
The GPT (Generative Pre-trained Transformer) models, known for their capabilities in generating human-like text, are primarily built upon which type of Transformer?
In the context of Transformer-based language models, what is the primary advantage of the BERT (Bidirectional Encoder Representations from Transformers) architecture?
Which transformer-based model is known for its natural language understanding and generation capabilities?
What is the difference between GPT and BERT?
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Machine Learning Quizzes