Design GenAI Fine-Tuning and Agent Tradeoffs
Company: Two Sigma
Role: Software Engineer
Category: ML System Design
Difficulty: medium
Interview Round: Technical Screen
Overview: This question evaluates competency in generative AI fine-tuning techniques and production agent architecture, including trade-offs among full-precision, LoRA, and QLoRA approaches, resource and latency constraints, scaling decisions, observability, schema validation, orchestration, and safety mechanisms within the ML system design domain.
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