Master LLM and Gen AI with 600+ Real Interview Questions Master LLM and Gen AI with 600+ Real Interview Questions How would you describe the function of the feed-forward neural network (FFN) in the Transformer architecture?A) To perform the embedding of input tokens before applying attention.B) To apply non-linear transformations to the attention outputs for … Continue reading How would you describe the function of the feedforward neural network (FFN) in the Transformer architecture?
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What is the purpose of using multi-head attention in Transformer models?
Master LLM and Gen AI with 600+ Real Interview Questions Question:What is the purpose of using multi-head attention in Transformer models?A) To reduce the complexity of training by splitting attention across multiple layers.B) To capture diverse relationships in the data by attending to different parts of the sequence simultaneously.C) To enhance gradient flow across layers … Continue reading What is the purpose of using multi-head attention in Transformer models?
How would you explain the significance of positional encoding in a Transformer model?
Master LLM and Gen AI with 600+ Real Interview Questions Question: How would you explain the significance of positional encoding in a Transformer model? A) It eliminates the need for token embeddings by encoding word positions directly.B) It enables the model to process sequences in a random order without losing context.C) It provides the model … Continue reading How would you explain the significance of positional encoding in a Transformer model?