3281 - 为智能体人工智能项目注入强大动力:基于 DevEx 的云原生脚手架方法.pdf

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3281 - 为智能体人工智能项目注入强大动力:基于 DevEx 的云原生脚手架方法.pdf

1、A DevEx-Driven Approach to Cloud-Native ScaffoldingSupercharge Agentic AI ProjectsIgnacio RiesgoSenior DirectorDeveloper Marketing Red HatMarkus EiseleSenior Developer AdvocateRed Hat 12TWITTERMASTODONBSKYEMAILmyfearmastodon.onlineIgnacio RiesgoSenior Director,Developer Advocacy,Red Hat Runtimeshttp

2、s:/ next 60 minutes you will learn:Agentic and Why it Matters1 year perspective from last TechXchange.Agentic AI turns LLMs into enterprise-ready actors by combining context,tools,and standards to move beyond simple chatbots.Cloud-Native ScaffoldingCloud-native scaffolding provides reusable,pre-wire

3、d foundations so teams can build agentic AI applications faster and with governance built in.Demo“AI Museum Agent”Well show how Quarkus and LangChain4j scaffold an AI agent from scratch,extend it with reasoning and tools,and deploy it to the cloud in minutes.Summary and QuestionsWell recap the custo

4、mer value of faster time-to-market and better developer experience,then open the floor for Q&A.1.Why Agentic AI MattersSource:https:/ backTechXchange 2024 Keynote2024Looking backSource:https:/ 2025-4%|-10%BUT Operationalization and trust hurdles Integration complexity Infrastructure bottlenecks Secu

5、rity,scalability,and compliance risksAI is aggressively moving from pilots into productionFrom Chaos to Scaffolding LLMs are not ApplicationsThe AI Development Bottleneckshttps:/artificialanalysis.ai/Setup costs are too high Every project looks different.No governance People:Not everyone is a Data S

6、cientistLLM by itself is incompleteGenerative Masterminds but LimitedLess than 1%of all enterprise data is represented in foundation modelsNearly all available public data is now represented in foundation models2024Looking backLLMsLLM+Context=AssistantWith Data Access They Become AssistantsFeed with

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