Generative AI Service

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

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.

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.

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Generative AI use cases

  • Analysis

    Rapidly analyze large volumes of data, such as user feedback, market data, call scripts, and logs.

  • Copy generation

    Draft marketing copy, emails, blog posts, product descriptions, and more.

  • Chat

    Create chatbots that can brainstorm, problem-solve, and answer questions. Integrate them with search systems to create a knowledge-grounded information retrieval system.

  • Stylistic conversion

    Rewrite content in a different style or language.

  • Text classification

    Classify intent in customer chat logs, support tickets, and more.

  • Search

    Search call transcripts, internal knowledge sources, and other large corpuses of data to answer questions from users.

“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

“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 Ecosystem, Singlife

January 23, 2024

The future of generative AI: What enterprises need to know

Greg Pavlik, Senior Vice President, Oracle Cloud Infrastructure

The advent of powerful cloud infrastructures combined with advanced GPUs has enabled us to push the boundaries of technology with AI. Over the last year, generative AI models trained and retrained on huge amounts of data from the internet have astounded us with their capabilities. Now, we’re watching generative AI create text, generate SQL queries, write code, create artwork, and assist in product support—all of which seemed impossible just a few years ago. These feats have captured the imagination of enterprise executives who see immense potential to improve productivity and revenue with generative AI.

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    • Comprendere e descrivere i concetti e i carichi di lavoro dell'intelligenza artificiale
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    • Identificare i tipi comuni di apprendimento automatico
    • Comprendere i principi di base dell'intelligenza artificiale generativa
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