Generative AI Solutions

Enter a new era of productivity with generative AI solutions built for business. Innovate with your choice of open source or proprietary large language models (LLMs). Leverage AI embedded as you need it across the full stack.

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Tools and services for generative AI

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.

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.

Read the complete post

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

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

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  • 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

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