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AI & Machine Learning · Intermediate

LLMOps

Operational practices for deploying and managing large language model applications in production.

Definition

LLMOps adds prompt versioning, evaluation suites, guardrails, RAG index management, token cost tracking, tracing of agent steps and feedback collection to traditional MLOps.

Exam tip

LLMOps adds prompt, evaluation and token-cost management to standard MLOps practices.

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