https://github.com/msusazureaccelerators/southreusableassets

IP and use case assets for CSU
https://github.com/msusazureaccelerators/southreusableassets

azure-ai-search azure-ai-services azure-ml azure-openai csharp-code csharp-docs document-intelligence json-files knowledge-graph mlflow openai-assistant-api openai-chat-api prompt-flow python-code python-docs semantic-kernel yaml-files

Last synced: 3 days ago
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IP and use case assets for CSU

• Host: GitHub
• URL: https://github.com/msusazureaccelerators/southreusableassets
• Owner: MSUSAzureAccelerators
• License: mit
• Created: 2024-09-09T17:58:25.000Z (about 2 months ago)
• Default Branch: gh-pages
• Last Pushed: 2024-11-04T16:14:40.000Z (4 days ago)
• Last Synced: 2024-11-04T16:31:53.745Z (4 days ago)
• Topics: azure-ai-search, azure-ai-services, azure-ml, azure-openai, csharp-code, csharp-docs, document-intelligence, json-files, knowledge-graph, mlflow, openai-assistant-api, openai-chat-api, prompt-flow, python-code, python-docs, semantic-kernel, yaml-files
• Language: Ruby
• Size: 613 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# CSU IP and Other Reusable Assets

 IP and use case assets for CSU

## The concept of a shared IP repository is supported by the notion that CSAs are building bespoke components for customers which have the likelihood of shareability across all OUs at Microsoft. Similar to Enterprise-Scale architecture or landing zone strategies, this repository is meant to provide a place for CSAs to showcase their work while providing other CSAs access to utilize shared assets without recreating the wheel everytime.  This repository is NOT intended to replace Azure Landing Zones (Enterprise-Scale) which are designed to support organizations at any scale point, providing a strategic design path and target technical state for Azure environments. This repo is intended to share reusable components on top of the Azure Landing Zone architecture scaffolding.

All together, these resources can guide the support and development of AI design wins through this shared IP repository that provides a CSU initiated platform intended to meet the needs of South CSU intially and expanded to include all CSU areas over time.