Question Bank
NLP interview questions
Text classification and document retrieval call for different choices. Use these questions to review text representations, language-model training and evaluation. Distinguish properties of the model from the data and the way it is used.
Showing 16 of 76 questions
How to aggregate transformer output into a single vector: CLS-token or pooling?
Tell about LLM in content moderation context
Tell about your experience with LLMs for chatbots
How can connecting another LLM provide additional information?
Did you use default LLMs with system prompts or fine-tuning for moderation?
How to approach the task of generated content detection?
Did you train LoRA adapter yourself or use a shared one for the department?
Инициализируется? Хороший вопрос. То есть какими значениями инициализируется?
Why do transformers use Layer Normalization instead of Batch Normalization?
How to solve content moderation to prevent prohibited topics?
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