Your question is RAG, Transformers, Fine-Tuning. 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).
Explain how you would build a RAG pipeline using transformers and LLMs, including when and how you would fine-tune a model.
Cover document ingestion, chunking, embeddings, retrieval, reranking, prompt construction, generation, evaluation, and production monitoring. Explain how you would decide whether prompt engineering, retrieval improvements, supervised fine-tuning, or parameter-efficient fine-tuning is the appropriate intervention.