AI Runtime example notebooks

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AI Runtime provides serverless GPU compute for training and fine-tuning AI and deep learning models. The pages below group example notebooks by task: large language models, computer vision, recommender systems, classic ML, and multi-GPU distributed training.

• • 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.