Author: BotBark

BotBark

Demystifying Python Variable Scope: Understand, Master, and Avoid Common Pitfalls

Demystifying Python Variable Scope Introduction: The Lost Keys in the House Imagine this: you come home and place your keys somewhere in the house. Later, when you're about to leave again, you can't find them. Maybe they’re in the kitchen drawer… or maybe in your jacket pocket. Now, imagine if each room in your house … Continue reading Demystifying Python Variable Scope: Understand, Master, and Avoid Common Pitfalls

BotBark

What is the difference between encoder and decoder blocks in the Transformer architecture?

Master LLM and Gen AI with 600+ Real Interview Questions Master LLM and Gen AI with 600+ Real Interview Questions What is the difference between encoder and decoder blocks in the Transformer architecture? A) Encoder blocks handle input sequence processing, while decoder blocks generate predictions token-by-token.B) Encoder blocks use self-attention only, while decoder blocks use … Continue reading What is the difference between encoder and decoder blocks in the Transformer architecture?

BotBark

What is the difference between self-attention and multi-head attention in the Transformer architecture?

Master LLM and Gen AI with 600+ Real Interview Questions Master LLM and Gen AI with 600+ Real Interview Questions What is the difference between self-attention and multi-head attention in the Transformer architecture? A) Self-attention focuses on global dependencies, while multi-head attention combines local features.B) Self-attention processes individual tokens, while multi-head attention applies parallel attention … Continue reading What is the difference between self-attention and multi-head attention in the Transformer architecture?

BotBark

How would you describe the function of the feedforward neural network (FFN) in the Transformer architecture?

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?

BotBark

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?

BotBark

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?

BotBark

What is the primary role of the self-attention mechanism in the Transformer architecture?

Master LLM and Gen AI with 600+ Real Interview Questions Question: What is the primary role of the self-attention mechanism in the Transformer architecture? A) To enhance the model's ability to process sequential data in order.B) To allow the model to focus on relevant parts of the input sequence when making predictions.C) To replace recurrent … Continue reading What is the primary role of the self-attention mechanism in the Transformer architecture?