The Principles of Production AI

AI Engineering is maturing in 2024, focusing on providing safe and reliable AI experiences at scale. Three key pillars are used to achieve this mission: LLM Evaluation, Guardrails, and better orchestration. LLM Evaluation assesses the quality and relevance of AI model responses and continuously evaluates them over time. Guardrails help manage and control AI behavior, ensuring responses align with ethical and functional standards. Orchestration infrastructure is crucial for handling the increasing complexity of AI workflows, improving reliability and cost efficiency.