Amazon Applied Scientist interview questions

1. What are the evaluation metrics used for LLM evaluation? 2. How is LSTM different from Transformer architecture? 3. Why is RAG architecture used instead of fine-tuning LLM models? 4. How is BERT different from GPT model? 5. What will I do in case of imbalanced dataset? 6. How is linear regression different from logistic regression? What types of loss functions are used in each of these scenarios? 7. What is the task of dropout and activation function?