Your question is Transformer Fundamentals. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Tell me about transformer models and how you would apply them to an NLP problem.
Explain self-attention, contextual token representations, pretraining, and fine-tuning. Then describe a practical transformer-based approach for classifying Autodesk support messages, including preprocessing, model selection, training, evaluation, and deployment trade-offs.