For the first time, Microsoft was a sponsor of the annual Pytorch conference. At our booth, we met a huge range of developers, from startups, academia, industry, and even a few Pytorch maintainers! It was great to chat with everyone to find out how they’re using Pytorch, ML, and Generative AI models, and suggest ways that Microsoft tools could help.

Our booth was staffed by Karissa Peth (Developer advocacy PM), Josh Oh (Python advocacy PM), Pamela Fox (Python advocate), Sanket Kalaskar (PM for Pytorch on Windows), Cedric Vidal (AI Advocate), plus Patrick Chanezon (Developer relations VP, not pictured).

Check out the resources that we shared with attendees:

Machine learning on Azure: 

Pytorch on Azure 

Train Pytorch models with Azure ML Studio 

Deploy a scikit-learn model as an online endpoint 

Generative AI on Azure: 

Develop AI Apps with Python 

Fine-tuning models in Azure AI Studio 

Fine-tuning SLMs for RAFT using Azure AI Studio 

Azure AI Model Catalog 

GitHub Models Marketplace 

Azure Speech services 

Building RAG with Azure: 

RAGHack: 25+ recorded live streams about RAG on Azure 

RAG with Azure AI Search and OpenAI 

RAG on PostgreSQL database 

RAG chat evaluation tools 

Microsoft research projects in ML: 

Phi Open Models 

Phi-3 Cookbook 

DiskANN: Efficient vector search 

GraphRAG: Hierarchical approach to RAG 

ONNX Runtime: Accelerated ML 

pytorch-ort: Accelerate Pytorch models with Onnx runtime 

Using Python with Microsoft products: 

Pytorch on Windows: Backlog 

Python at Microsoft 

Azure for Python developers 

Python in Excel 

Azure credits: 

Microsoft for Startups 

Azure for Students 

Certifications for students 

Learning resources: 

Pytorch Fundamentals 

Generative AI for Beginners 
Data science tutorial for VS Code 

We hope to be back next year for Pytorch 2025!

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