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Before you share your LLM application with the world, you need to make sure that the system is capable of high-quality outputs.
Moving from a proof of concept to production deployment of an LLM application requires finding a reliable way to evaluate its performance. In doing so, teams can make informed decisions on deployments and iterations.
When making a decision on deploying an LLM application, the three key dimensions to consider are cost, latency, and quality. API or GPU providers will determine cost, and latency can be measured by running tests for your chosen infrastructure.