Your question is Transformers vs Traditional ML. 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).
What are the key differences between transformer models and traditional machine learning models?
Compare them across architecture, input representation, training objectives, data and compute requirements, transfer learning, inference behavior, interpretability, and typical use cases. Include practical implications for selecting a transformer-based LLM versus a conventional model such as logistic regression, random forest, or gradient boosting.