lordaouy / leveraging_os_models_catalog

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Leveraging Open-Source Models with the Azure ML Model Catalog

In this session, attendees will be introduced to the expansive capabilities of the Azure ML Model Catalog, with a focus on its latest additions in the realm of Computer Vision. Through hands-on demonstrations, participants will witness the ease of trying out and deploying models to Managed Endpoints. We will also illustrate how to harness Azure Content Safety for Large Language Models (LLMs) to ensure safe and appropriate content generation. The session will further dive into the seamless integration of custom Hugging Face models into the catalog. Concluding with a practical demonstration, participants will learn the intricacies of fine-tuning and deploying the Llama-2 model using both UI and code-based options. Join us to gain a holistic understanding of optimizing open-source models using the Azure ML Model Catalog.

Note: This repo is for demo purposes ONLY

Agenda:

  1. Overview of Model Catalog and latest additions (NLP & Computer Vision)
  2. Try out and deploy models to Managed Endpoints (demo)
  3. Configure Azure Content Safety for LLMs (demo)
  4. Adding custom Hugging Face models to the catalog
  5. Fine-tune and deploy Llama-2 using the UI and code-options (demo)

About

License:MIT License


Languages

Language:Jupyter Notebook 85.9%Language:Python 13.5%Language:Jinja 0.5%