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面向企业的多模态 GenAI:从高级模型到 AI 化身 [LRN3046].pdf

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1、 Multimodal GenAI for the Enterprise:From Advanced Models to AI AvatarsLRN3046NameSujith Ravi,Vice President,GenAI,Oracle OCIMichael Zhang,Senior Principal Product Manager,Oracle OCI Kyu Han,Sr.Director,Applied Science,Oracle OCIThe following is intended to outline our general product direction.It i

2、s intended for information purposes only,and may not be incorporated into any contract.It is not a commitment 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 describ

3、ed for Oracles products may change and remains at the sole discretion of Oracle Corporation.2Oracle AI World Copyright 2025,Oracle and/or its affiliatesSafe Harbor Statement3Oracle AI World Copyright 2025,Oracle and/or its affiliatesThis presentation is intended to outline our general product direct

4、ion.It is intended for information purposes only,and may not be incorporated into any contract.It is not a commitment 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

5、 described for Oracles products may change and remains at the sole discretion of Oracle Corporation.Statements in this presentation relating to Oracles future plans,expectations,beliefs,intentions,and prospects are“forward-looking statements”and are subject to material risks and uncertainties.A deta

6、iled discussion of these factors and other risks that affect our business is contained in Oracles Securities and Exchange Commission(SEC)filings,including our most recent reports on Form 10-K and Form 10-Q under the heading“Risk Factors.”These filings are available on the SECs website or on Oracles

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根据《Multimodal GenAI for the Enterprise:From Advanced Models to AI Avatars》的内容,以下是全文关键点的概括: 1. **多模态生成式AI(GenAI)**:企业AI的下一个革命将依赖于多模态大型语言模型(MLLM),它能够处理文本、视觉和音频等多种数据类型。 2. **Oracle的AI方法**:Oracle提供灵活的部署选项,将AI服务与云基础设施、数据、SaaS应用和合作伙伴集成。 3. **多模态AI应用案例**:包括医疗保健、金融服务、媒体和娱乐等行业,例如分析患者记录、自动化文档分析、AI聊天机器人等。 4. **挑战**:从LLM/VLM过渡到MLLM面临数据整合、模型架构、计算能力等方面的挑战。 5. **构建多模态AI智能**:涉及理解、推理和生成任务,例如图像/视频生成、文本生成、语音合成等。 6. **Oracle的多模态AI解决方案**:包括健康临床AI代理、OCI多模态RAG代理、视频语义搜索、媒体内容生成、产品广告内容生成等。 7. **数字化身**:AI驱动的实时交互代理,具有实时语音识别、基于LLM的GenAI、实时文本到语音、唇同步视频/音频渲染等功能。 8. **唇同步技术**:通过视频到视频(V2V)模型和图像到视频(I2V)模型实现,提高化身的人类似度。 9. **数字化身应用**:涵盖零售、汽车、教育和培训等多个行业,如虚拟接待员、客户支持代理、虚拟品牌大使等。
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