Episode
Open-source foundation models in Azure Machine Learning and optimization techniques behind the scenes
with Parintha Rahi, Swati Gharse
This episode highlights the new feature we announced at Microsoft Build around foundation models in Azure Machine Learning, allowing ML professionals to discover, fine-tune, and deploy any open-source foundation models from Hugging Face. We'll also dig into model optimization techniques that are packaged in Azure Container for PyTorch, including DeepSpeed and ONNX Runtime.
Chapters
Recommended resources
- Visit the AzureML model catalog to browse and discover open-source models
- Access sample notebooks for using (fine-tuning/evaluating/deploying) these models on GitHub
Related episodes
- View all episodes on Microsoft Learn and add Open at Microsoft to a collection
- New episode every Tuesday! Open at Microsoft playlist on YouTube
Connect
- Parintha Rahi | LinkedIn: in/parinitaparinita/
- Swati Gharse | LinkedIn: in/swati-gharse-3781a97/
- Frank Boucher | Twitter/X: @fboucheros
This episode highlights the new feature we announced at Microsoft Build around foundation models in Azure Machine Learning, allowing ML professionals to discover, fine-tune, and deploy any open-source foundation models from Hugging Face. We'll also dig into model optimization techniques that are packaged in Azure Container for PyTorch, including DeepSpeed and ONNX Runtime.
Chapters
Recommended resources
- Visit the AzureML model catalog to browse and discover open-source models
- Access sample notebooks for using (fine-tuning/evaluating/deploying) these models on GitHub
Related episodes
- View all episodes on Microsoft Learn and add Open at Microsoft to a collection
- New episode every Tuesday! Open at Microsoft playlist on YouTube
Connect
- Parintha Rahi | LinkedIn: in/parinitaparinita/
- Swati Gharse | LinkedIn: in/swati-gharse-3781a97/
- Frank Boucher | Twitter/X: @fboucheros
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