Reflections on AI Engineer Summit 2023
Read OriginalThe article summarizes insights from the AI Engineer Summit 2023, highlighting major deployment challenges like evaluation (evals) and serving costs for LLM systems. It discusses the limitations of current eval techniques, from brittle asserts to expensive model grading, and explores practical solutions like caching and human review. The content is based on a survey and talks from industry practitioners.
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