Azure / bicep-registry-modules
Bicep registry modules
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Bicep registry modules
Azure Quickstart Templates
This sample has the full End2End process of creating RAG application with Prompty and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
This repository contains the Azure Landing Zones (ALZ) Bicep modules that help deliver and deploy the Azure Landing Zone conceptual architecture in a modular approach. https://aka.ms/alz/docs
Bicep is a declarative language for describing and deploying Azure resources
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Sample microservices app for AKS demos, tutorials, and experiments
Azure Monitor Baseline Alerts