Builder Bootcamp: Production & Optimization

In this session, you’ll learn how to evaluate and optimize AI systems for production tradeoffs like quality, latency, and cost. We’ll cover how to benchmark model performance, compare baselines, and use evaluation results to make practical decisions about model selection and optimization.

You’ll also explore fine-tuning and distillation patterns: preparing a dataset, generating teacher outputs, training a smaller model, and measuring whether the optimized model maintains quality. This session is geared toward builders looking to move beyond “it works” toward systems that are measurable, efficient, and production-ready.