1. Cloud
  2. Artificial Intelligence
  3. Generative AI

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.

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.

The benefits of using OCI Generative AI

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

Use cases for generative AI

Financial services

Using LLMs, financial firms can analyze news to refine investments, compose reports and summaries from financial data, generate explanations, perform risk analysis, and detect fraudulent activity.

HR

Create new job descriptions, screen candidates, personalize the onboarding and employee experience, generate customized career plans, and assist with performance evaluations.

Retail

Improve customer service with advanced conversational chatbots, write product descriptions, and automate personalized messages and rewards.

Marketing

Gather market analyses, automate blog writing, draft video scripts, generate logos and branded content, and get customer churn predictions.

Sales

Add validated company profiles, create customer profile analyses, automate answers to information requests, and produce personalized training modules.

Software development

Generate code drafts, perform code correction and refactoring, create multiple IT architecture designs and iterate on them, and generate test cases and data.

Healthcare

Automate administrative tasks, improve communication speed by generating doctor discharge notes, and create personalized treatment plans.

Customer support

Automate case summarization and provide instantaneous, accurate answers with conversational chatbots enhanced with retrieval capabilities.

Additional Oracle AI resources

Learn more about Oracle AI
Resources for Oracle AI
AI documentation

Get started with Oracle AI

Try Oracle AI and get a 30-day trial

Oracle offers a free pricing tier for most AI services as well as a free trial account with US$300 in credits to try additional cloud services. Get the details and sign up for your free account.

  • Which Oracle AI and ML services offer a free pricing tier?

    • OCI Speech
    • OCI Language
    • OCI Vision
    • OCI Document Understanding
    • Machine Learning in Oracle Database
    • OCI Data Labeling

    You also only have to pay compute and storage charges for OCI Data Science.

Learn with an AI hands-on lab

The best way to learn something is to try it yourself. Use our tutorials and hands-on labs with your own Oracle Cloud tenancy, at no charge for many services.

See how to apply AI today

Enter a new era of productivity with generative AI solutions for your business. Learn how Oracle helps customers leverage AI embedded across the full technology stack.

  • What can you achieve with Oracle AI?

    • Fine-tune LLMs in OCI
    • Automate invoice processing
    • Build a chatbot with RAG
    • Summarize web content with generative AI
    • And so much more!

AI certification

Take the OCI AI Foundations certification exam

Get trained on AI, machine learning, deep learning, and generative AI and earn a free OCI AI certification.

  • After completing this course, you’ll be able to

    • Understand and describe AI concepts and workloads
    • Explain the key concepts and terminology of machine learning
    • Explain the key concepts and terminology of deep learning
    • Identify common types of machine learning
    • Understand the fundamentals of generative AI
    • Understand large language model concepts
    • Explain prompt engineering and fine-tuning for large language models
    • Describe Oracle AI infrastructure
    • Describe Oracle AI services

Contact sales

Interested in learning more about Oracle AI? Let one of our experts help.

  • They can answer questions such as

    • How can I get started with AI and machine learning?
    • What can I do for my business with generative AI?
    • Which services are right for me?