Your question is Explain Embeddings in NLP. 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).
You are working on an NLP system that needs to turn text into numeric vectors before a downstream model can use it. The team wants a clear explanation of what embeddings are, how they are learned, and why they often work better than sparse text features.
Explain the role of embeddings in NLP systems.