HearingLife Interview Questions
The questions to prepare for HearingLife interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Discuss the main ethical risks in deploying generative AI, including hallucination, misuse, privacy, and governance.
Design a high-throughput RAG pipeline that grounds answers, detects unsupported claims, and balances quality, latency, and cost.
Design an eval framework for LLM quality, safety, usefulness, cost, and latency beyond perplexity.
Compute cosine similarity for equal-length high-dimensional vectors using dot products and Euclidean norms.
Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
Approach for continuously monitoring a deployed model and keeping performance stable as data changes.
Design a scalable embedding pipeline and approximate nearest-neighbor index for semantic text retrieval.
Compare fine-tuning and RAG for reliable, current monitoring assistance, including data, evaluation, latency, cost, and operational trade-offs.
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