Your question is Optimizing Inference Costs. 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).
How do you optimize inference costs for high-throughput generative AI applications?
Discuss the techniques, measurements, and tradeoffs you would use in production. Your answer should address model selection, batching, quantization, caching, autoscaling, request routing, latency, throughput, output quality, and AWS implementation options. Include a practical evaluation plan and explain how you would prevent cost reductions from causing unacceptable quality or reliability regressions.