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The Model Integration Lifecycle - CentML Platform
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The Model Integration Lifecycle (MILC) can be viewed as a practical extension—or counterpart—to the Model Infrastructure Lifecycle. Its purpose is to define common terminology and provide a structured framework for teams adopting large language models (LLMs) and managing their transition into and out of production environments. MILC aligns closely with the Model Development Lifecycle (MDLC), while also embracing DevOps and MLOps principles of continuous improvement and evaluation. PhasePurposeExampleRequirements GatheringIdentify business needs and model fitNeed a model to summarize tickets in less than 3s with PII redactionFeasibility AnalysisEvaluate performance, latency, cost, infra readinessLLaMA 2-70B meets quality targets; latency less than 1s possible via serverless CentML endpointDesign & ArchitecturePlan API integration, security, auth, observabilityUse CentML’s /v1/chat/completions endpoint (OpenAI-compatible); authenticate using API tokens; log request/response metadata ...
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