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在 Oracle 云上使用 Agentic 工作流自定义和部署开源 LLM [HOL3261].pdf

上传人: Fl****zo 编号:971005 2025-11-08 42页 5.91MB

1、 HOL3261Customize and Deploy Open-Source LLMs with Agentic Workflows on Oracle CloudDeploy powerful,cost-efficient,and customizable AI Agentic WorkflowsSanjeeva Kumar Kalva&Rahul MRForward-Looking statementsThis presentation is intended to outline our general product direction.It is intended for inf

2、ormation 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 described for Oracles pro

3、ducts 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 detailed discussion of these f

4、actors 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 website at https:/ informa

5、tion in this presentation is current as of October 2025 and Oracle undertakes no duty to update any statement in light of new information or future events.Some regulatory certifications or registrations to products or services referenced herein are held by Cerner Corporation.Cerner Corporation is a

6、wholly owned subsidiary of Oracle.Cerner Corporation is an ONC-certified health IT developer and a registered medical device manufacturer in the United States and other jurisdictions worldwide.2Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly RestrictedHere we are.

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根据报告的内容,全文主要内容概括如下: - **主题**:在Oracle Cloud上定制和部署开源LLMs(大型语言模型)的Agentic Workflows。 - **目标**:展示如何使用Oracle Cloud的AI服务进行无代码部署、模型评估和微调。 - **关键点**: - 无代码部署开源LLMs,通过UI playground访问模型。 - 带入自有的模型(如Hugging Face或存储中的模型)。 - 构建和运营包括MCP(多模型协同)的企业级Agentic Workflows。 - 使用内置的行业标准LLM评估框架进行模型评估。 - 无代码、分布式微调LLMs。 - 构建安全、高效、兼容OpenAI API的部署,无需编写代码。 - **演示内容**:模型探索、模型注册、Agentic Workflows、模型评估和微调。
"模型部署,一键搞定?" "BYOM模型,轻松注册!" "AI模型调优,分布式加速!"
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