Overview
Azure Machine Learning is a comprehensive ML platform that centralizes building, training, fine-tuning, and deploying machine learning and language models. It provides tools and integrations to manage model lifecycle, deploy endpoints, and integrate models into applications.
Key Features:
- Azure Machine Learning Studio: centralized workspace for artifacts, experiments, and deployments
- Language model fine-tuning, training, and deployment capabilities with model catalog support
- Integration with Azure OpenAI Service, RESI APIs, and other Azure services (Key Vault, Blob Storage, Container Registry)
Use Cases:
- End-to-end model development and MLOps for production ML workflows
- Fine-tuning and deploying large language models as endpoints for applications
- Integrating and managing models across applications using RESI APIs and Azure service ecosystem
Benefits:
- High availability with a 99.9% SLA
- Centralized collaboration and lifecycle management for data scientists and developers
- No additional charge for Azure Machine Learning itself; pay only for consumed Azure services and compute