Intermountain Health 的 LLMOps：AI 库存代理案例研究.pdf

1、LLMOps at Intermountain Health:A Case Study on AI Inventory AgentsMark NielsenConfidential and property of Intermountain HealthIntroductionMark Nielsen Title:Lead MLOps Engineer Background:Degrees in Math and Statistics Role:Plays a key role in the infrastructure,governance,deployment,and oversight

2、of machine learning and generative AI models.Hobbies:3D printing and robotics LinkedIn: and property of Intermountain Health3Hospitals/ClinicsHospitals33*Telehealth Patients3M+Clinics385*Includes 1 virtual hospitalInsuranceMembers1,089,000+StaffSupport Staff39,000Providers(employed,affiliated,and AP

3、Ps)10,000Nurses10,000+4Helping people live the healthiest lives possible.Confidential and property of Intermountain HealthClinical Artificial IntelligenceMachine Learning OptimizationOperations Improvements1960s1970s1980s1990s2000s2010s2020sFutureOur AI JourneyProgress in machine learning,generative

4、 AI,and new technologies is improving efficiency and quality of patient care.IH leverages cutting-edge ML algorithms for clinical excellence and operational efficiency.Intermountain has been a leader in healthcare AI since developing its Congenital Heart Disease AI in 1960.Confidential and property

5、of Intermountain Health5AI Governance Background6Emily Garcia&Robert MillerAI Inventory AgentConfidential and property of Intermountain Health7Governance assistant Consolidate AI product info from various systems Draft AI model card details Ideate AI product effort and impact estimation Provide AI p

6、roduct insights for business leadersLLMOps Large Language Model OperationsConfidential and property of Intermountain Health8Practices,tools,and processes for deploying LLMs InfrastructureScalabilityResponsible AIHigh-level MLOps InfrastructureConfidential and property of Intermountain Health9EDPFeat