Generative AI Service

Discover the power of generative AI models equipped with advanced language comprehension for building the next generation of enterprise applications. Oracle Cloud Infrastructure (OCI) Generative AI is a fully managed service for seamlessly integrating these versatile language models into a wide range of use cases, including writing assistance, summarization, analysis, and chat.

Llama 3.1 available on OCI Generative AI

The latest release from Meta brings more flexibility, control, and state-of-the-art capabilities that rival the best closed source models. Access Llama 3.1 on OCI Generative AI without the need to manage containers or infrastructure.

Why use OCI Generative AI?

  • Choice of models for enterprise use cases

    Access pretrained, foundational models from our AI partners to summarize, embed, and generate text.

  • Flexible fine-tuning

    Create custom models by fine-tuning base models with your own data set. Build new custom models or create new versions of existing custom models.

  • Content moderation and controls

    Create endpoints for custom or pretrained models with autonomy to update, move, or delete as needed.

  • Dedicated AI clusters

    Manage compute resources to fine-tune custom models or host endpoints for custom models. Clusters aren’t shared with users in other tenancies.

How OCI Generative AI works

How OCI Generative AI worksA user’s input can include natural language, input/output examples, and instructions. The LLM analyzes the text input, and can generate, summarize, transform, extract information, or classify text based on the request from the user. A response is sent back to the user in whichever format was specified. This can include raw text or formatting such as bullets and numbering.
At Oracle, we carefully thought through how an enterprise’s business processes could be enhanced with generative AI. We’ve created an end-to-end generative AI experience encompassing our entire stack.
Greg Pavlik, SVP, Oracle Cloud Infrastructure

Explore the OCI Generative AI cloud architecture

Watch Chief Technical Architect Pradeep Vincent walk through the OCI Generative AI cloud architecture that brings flexible, efficient, and secure customization of AI models to real-world applications.

Read the complete post

What customer are saying about OCI Generative AI

  • Singlife logo

    “In line with one of our values—innovation—we encourage Singlifers to come up with innovative solutions to everyday business problems using emerging technologies like generative artificial intelligence. Singlife collaborated with Oracle and OCI to develop proof of concepts for our internal competition, the #BetterIdea Challenge. These solutions cut across different domains, ranging from chatbot and document analysis to AI-assisted recommendations.”

    Varun Mittal
    Head of Innovation and Ecosystems, Singlife
  • IDC logo

    “With a common architecture for generative AI that is being integrated across the Oracle ecosystem from its Autonomous Database to Fusion SaaS applications, Oracle is bringing generative AI to where exabytes of customer data already reside, both in cloud data centers and on-premises environments. This greatly simplifies the process for organizations to deploy generative AI with their existing business operations.”

    Ritu Jyoti
    Group Vice President, Worldwide Artificial Intelligence and Automation Research Practice, and Global AI Research Lead, IDC
  • Intermedia logo

    “Customer experience is the biggest cost center in any organization. With dozens of support engineers answering hundreds of chats per day, being able to automate time-consuming activities using generative AI, like summarizing support tickets, means our support engineers can instead spend those thousands of hours per year focused on increasing customer satisfaction and reducing time to results.”

    Urvashi Sheth
    Chief Customer Officer, Intermedia
  • theCUBE Research logo

    “Oracle is taking a full stack approach to enterprise generative AI. Oracle’s value starts at the top of the stack, not in silicon. By offering integrated generative AI across its Fusion SaaS applications, Oracle directly connects to customer business value.”

    Dave Vellante
    Chief Analyst, theCUBE Research

生成式 AI 的使用案例

金融服務業

金融公司可以使用 LLM 分析新聞以改善投資、根據財務資料撰寫報表和摘要、產生說明、執行風險分析及偵測詐騙活動。

人力資源

建立新的職務描述、篩選候選人、打造個人化的入職和員工體驗、產生自訂的職涯計劃,以及協助評估績效。

零售業

透過進階對話式聊天機器人、撰寫產品描述,並將個人化訊息和獎勵自動化,以改善客戶服務。

行銷

收集市場分析、自動化撰寫部落格、草稿影片腳本、產生標誌和品牌內容,並預測客戶流失。

銷售

新增經過驗證的公司資料檔、建立客戶資料檔分析、將資訊要求解答自動化,以及產生個人化的訓練模組。

軟體開發

產生程式碼草稿、執行程式碼修正與重製、建立多個 IT 架構設計並依據這些設計重複,以及產生測試案例與資料。

醫療保健

自動執行管理任務、產生醫生排出備註並建立個人化處理計畫,以提升溝通速度。

客戶支援

透過擷取功能增強的對話式聊天機器人,將案例摘要自動化,並提供即時且準確的答案。

開始使用 Oracle AI

試用 Oracle AI,立即試用 30 天

Oracle 針對大多數 AI 服務提供免費的定價等級,以及附贈 300 美元點數的免費試用帳戶,這些點數可用於試用額外的雲端服務。取得詳細資料,並立即註冊您的免費帳戶。

  • 哪些 Oracle AI and ML 服務提供免費的定價等級?

    • OCI Speech
    • OCI Language
    • OCI 願景
    • OCI 文件理解
    • Oracle Database 中的機器學習功能
    • OCI 資料標籤

    您也只需要支付 OCI 資料科學的運算和儲存空間費用。

瞭解 AI 實機操作實驗室

學習知識和技能的最佳方法是自行嘗試。使用我們的教學課程和實作實驗室與您自己的 Oracle Cloud 租用環境,許多服務不額外收費。

立即瞭解如何應用 AI

邁入新生產力時代,為您的企業採用生成式 AI 解決方案。瞭解 Oracle 如何協助客戶運用內嵌於完整技術堆疊中的 AI。

  • 使用 Oracle AI 可以實現什麼?

    • OCI 中微調 LLM
    • 自動化發票處理
    • 使用 RAG 建置聊天機器人
    • 使用生成式 AI 總結 Web 內容
    • 還有更多!

AI 認證

參加 OCI AI Foundations 認證考試

接受 AI、機器學習、深度學習和生成式 AI 的相關訓練,並免費獲取 OCI AI 認證。

  • 完成本課程後,您將可具備下列能力

    • 瞭解並描述 AI 概念與工作負載
    • 說明機器學習的重要概念和術語
    • 說明深度學習的重要概念和術語
    • 辨識常見的機器學習類型
    • 瞭解生成式 AI 的基本概念
    • 瞭解大型語言模型的概念
    • 說明大型語言模型的提示工程和微調
    • 描述 Oracle AI 基礎架構
    • 描述 Oracle AI 服務

聯絡業務代表

有興趣深入瞭解 Oracle AI 嗎?讓我們的專家助您一臂之力。

  • 我們的業務代表可以為您解答以下問題:

    • 如何開始使用 AI 和機器學習?
    • 我可以如何運用生成式 AI 推動我的業務?
    • 哪些服務適合我?