Data Science AI Quick Actions
Simplify your use of foundation models with the new OCI Data Science AI Quick Actions feature. It’s designed to let anyone easily deploy, fine-tune, and evaluate open source foundation models.
Watch the product tour (6:26)
Speed up your ML projects with AI Quick Actions
Kick-start your machine learning projects—without the guesswork. Whether you're exploring ideas or scaling to production, the OCI Data Science AI Quick Actions feature gives you a fast, intuitive way to access, experiment with, and deploy a wide range of open source foundation models.
With built-in MLOps support from OCI Data Science, the AI Quick Actions feature lets you easily import, fine-tune, evaluate, and deploy your models—all in one place.
Choose from a growing catalog of enterprise-ready, open source models tailored to your use cases, expertise, and budget.
- Explore all open source LLMs available or bring your own.
- Quickly deploy popular models in your own environment for enhanced privacy.
- Fine-tune models directly in OCI Data Science with minimal setup.
- Build your application and call your models via a public or private endpoint.
Why use AI Quick Actions?
Simplify your model deployment using this secure, enterprise-ready workflow. There’s no need to set up a container and go through a complex workflow before deploying your models.
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Import
Get started quickly with cached models, including Phi, Falcon, Mistral, Granite, and Llama, for text generation or multimodal tasks. You can also import your models directly from Hugging Face.
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Fine-tune
Customize models with your own data to improve accuracy for your specific use case. Fine-tuned models are securely saved in your private model repository.
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Evaluate
Compare model performance using built-in evaluation tools. Generate detailed reports using metrics such as BLEU, ROUGE, and BERTScore.
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Deploy
Deploy your models and start inferencing. Use the integrated playground to test and iterate quickly.
AI Quick Actions ve službě OCI Data Science zjednodušují práci uživatelů, včetně těch méně technicky zdatných, aby mohli rychleji nasazovat, přizpůsobovat, testovat a vyhodnocovat základní modely a soustředit se na vytváření aplikací, které využívající generativní umělou inteligenci.
Deploy Llama 4 Models Faster Using AI Quick Actions from Oracle Cloud Infrastructure Data Science
Wendy Yip, Senior Product Manager, OCI Data ScienceSasya Kodali, Senior Principal Technical Program Manager
Meta’s Llama 4 models—Llama 4 Scout and Llama 4 Maverick—are here! These models let you build more personalized multimodal experiences. They offer significant improvements in image and text understanding and instruction following. With OCI Data Science AI Quick Actions supporting the newly released vLLM 0.8.3, you can now deploy and fine-tune Llama 4 models in a no-code environment. This lets more of your team members leverage these models and simplifies the process of working with OCI’s infrastructure and tools.
Read the complete postFeatured data science logs
- May 6, 2025 Introducing IBM Granite 3.3 Model on OCI Data Science
- December 18, 2024 OCI Data Science 2024: A Year of Innovation in AI
- October 7, 2024 LLM Inferencing with Arm-Based OCI Ampere A1 Compute in OCI Data Science AI Quick Actions
- September 10, 2024 Simplifying AI Integration: Bringing Hugging Face Models to AI Quick Actions in OCI Data Science
- July 31, 2024 Deploy Llama 3.1 405B in OCI Data Science
- May 7, 2024 Fine-Tuning in Large Language Models
- April 17, 2024 Introducing AI Quick Actions in OCI Data Science