Gigapower Interview Questions
The questions to prepare for Gigapower interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.
Explain how to manage memory, summarization, retrieval, and safety in a long-running LLM agent when context exceeds the model window.
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Tests understanding of embedding choices and vector index design for scalable retrieval systems.
Evaluates evaluation methodology for generative AI quality, reliability, and usefulness.
Assesses when to fine-tune versus use RAG to meet business requirements.
Assesses ability to design embedding-based recommendation approaches.