AI Runtime example notebooks

Important

AI Runtime for single-node tasks is in Public Preview. The distributed training API for multi-GPU workloads remain in Beta.

The pages below include various notebook examples that show how to use AI Runtime for different tasks.

Task	Description
Large language models (LLMs)	Examples for fine-tuning large language models including parameter-efficient methods.
Computer vision	Examples for computer vision tasks including object detection and image classification.
Deep learning based recommender systems	Examples for building recommendation systems using modern deep learning approaches like two-tower models.
Classic ML	Examples for traditional machine learning tasks including XGBoost model training and time series forecasting.
Multi-GPU distributed training	Examples for scaling training across multiple GPUs and nodes using the Serverless GPU API.