Machine Learning & AI
This section provides various usage examples for building and utilizing Machine Learning & AI environments.
You can find the KakaoCloud Kubeflow guide used in the tutorial under the Service category.
Tutorial structure
The tutorials in this category are divided into the following series, each offering a step-by-step cloud-based machine learning practice flow:
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Kubeflow basic workflows:
Learn the fundamental Kubeflow features needed to build, train, and manage machine learning models. -
Kubeflow LLM workflows:
Explore how to prepare, train, and deploy large language models (LLMs) using Kubeflow. -
Kubeflow traffic prediction modeling:
Learn how to build a real-world traffic prediction model using Kubeflow and load balancer log data.
🗃️ Kubeflow 기본 워크플로우
7 items
🗃️ Kubeflow 기반 LLM 워크플로우
3 items
🗃️ Kubeflow 기반 트래픽 예측 모델
4 items