Transformer – Interview Questions Table Of Contents: Basic Understanding Attention Mechanism Model Architecture  Training Transformer Model Prediction Transformer Model Interpretability & Optimization Practical/Advanced Concepts Beyond Vanilla Transformers (1) Basic Understanding What is the Transformer model and why was it introduced? What are the key components of a Transformer? What does the term “attention” mean in NLP? How is a Transformer different from an RNN/LSTM? What are the main advantages of Transformers over RNNs? What is positional encoding, and why is it needed in Transformers? Can you explain how a Transformer model works? What are Query, Key, and Value in the

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