1. Discuss your experience with fine-tuning models.
The interviewers inquired about your past experiences with fine-tuning models. Can you discuss any specific instances where you fine-tuned a model, the approach you took, and the outcomes?
2. Explain the process of text processing with transformers.
In the interview, you were questioned about the process of handling text with transformers. Could you explain how transformers process text data in natural language processing tasks?
3. Describe the attention mechanism in NLP.
You were asked about the attention mechanism during your NLP internship interview. Can you describe what the attention mechanism is and how it works in the context of natural language processing?
4. Explain the principle of in-context learning.
During your interview for an NLP internship, you were asked to explain the principle of in-context learning. Please provide a detailed explanation of this concept.
