New serverless model customization capability in Amazon SageMaker AI
News
This article announces a new serverless model customization capability in Amazon SageMaker AI that enables developers to quickly customize popular AI models with their proprietary data.
- Supports supervised fine-tuning and advanced techniques like reinforcement learning
- Simplifies end-to-end workflow from data preparation to deployment
- Compatible with Amazon Nova, Llama, Qwen, DeepSeek, and GPT-OSS models
- AI agent-guided workflow (preview) uses natural language for data generation and analysis
- Entirely serverless with easy-to-use interface
- Available in Ireland, N. Virginia, Tokyo, and Oregon regions
This capability accelerates model customization for AI developers, reducing iteration cycles and enabling faster deployment of customized models.
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