Problem
How would you build and compare embeddings for semantic search, and how would you choose a vector index for retrieval at scale in Hewlett Packard Enterprise?
Practicing as: AI Engineer interview at Hewlett Packard EnterpriseHi, I'll play your Hewlett Packard Enterprise interviewer for the AI Engineer role. Candidates describe these interviews as mostly positive and moderately difficult, so expect me to be friendly and conversational. Take your time with the question above and answer like we're in the room.
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