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如何在 Oracle Fusion Applications 中开始使用 AI [PAN3152](1).pdf

上传人: Fl****zo 编号:971209 2025-11-08 19页 2.93MB

1、 Getting Started with AI Agent StudioKaushal KurapatiGVP Product Management,Fusion AIOctober 2025Built in.Not Bolted onThe following is intended to outline our general product direction.It is intended for information purposes only,and may not be incorporated into any contract.It is not a commitment

2、to deliver any material,code,or functionality,and should not be relied upon in making purchasing decisions.The development,release,timing,and pricing of any features or functionality described for Oracles products may change and remains at the sole discretion of Oracle Corporation.Safe harbor statem

3、ent2Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly Restricted2026The year for operationalizing AI2022ChatGPT launch2023-24Initial exploration2025Operationalizing AIIntegration,trust,security,scale2026From pilots to productionAI assistants and Q&A agents built int

4、o business processesSome Common AI Myths to Bust1.My data will be used to train the models2.Now we have LLMs,we dont need any data3.I have to train language models specific to my business context4.I need special skills to get started with AI Agents5.I will wait for the perfect model to get startedWh

5、y Agents?AI Agents,powered by LLMs,understand natural languageInterpret user goals and decides how to execute themConnect to enterprise systems for business contextCreate Plans,Take Actions and Call tools/APIs as neededAutomate Business Workflows&Routine WorkSave Time and CostReduce ErrorsBoost Prod

6、uctivityWhat are AI Agents?6Copyright 2025,Oracle and/or its affiliatesAnatomy of an AI AgentLLMs process tokens that enable agents to comprehend requests and generate intelligent responses;a token is 3/4th of a wordBuilt in.Not Bolted onPrompts&Topics instruct agent behavior and include context for

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根据报告的内容,以下是全文主要内容的简明扼要概括: 1. **AI发展历程**:从2022年ChatGPT的发布,到2023-24年的初步探索,再到2025年AI的运营化,以及2026年从试点到生产的转变。 2. **AI代理(AI Agents)**:AI代理利用大型语言模型(LLMs)理解自然语言,执行业务流程,节省时间和成本,减少错误,提高生产力。 3. **AI代理类型**:包括人力资源、销售和营销、供应链、财务和采购等领域的代理。 4. **AI代理工作流程**:AI代理通过逻辑自动化、目标导向执行和协作执行来工作,使用LLMs、工具和业务对象函数。 5. **AI代理的LLMs选择**:包括Google Llama、GPT-5 mini、Fusion AI模型等。 6. **Oracle AI Agent Studio**:提供预构建模板、工具、主题和提示,以及知识库,帮助用户构建、测试、评估和部署AI代理。 7. **AI代理市场**:Oracle AI Agent Studio Marketplace提供合作伙伴构建的AI代理。 8. **AI代理实施建议**:从小规模测试开始,识别AI的价值,并立即使用AI Agent Studio。
"AI Agent入门指南" "破解AI应用迷思" "企业AI助手实战攻略"
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