Pinned Repositories
heis-TTK4235
Elevator project in embedded systems spring semester 2018
ResourceModules
This repository includes a CI platform for and collection of mature and curated Bicep modules. The platform supports both ARM and Bicep and can be leveraged using GitHub actions as well as Azure DevOps pipelines.
Fysikklab
dstoolkit-mlops-base
Help ML teams to accelerate their model deployment to production leveraging Azure
llmops-promptflow-template
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
rag-experiment-accelerator
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
ResourceModules
This repository includes a CI platform for and collection of mature and curated Bicep modules. The platform supports both ARM and Bicep and can be leveraged using GitHub actions as well as Azure DevOps pipelines.
mvbugge's Repositories
mvbugge/dstoolkit-mlops-base
Help ML teams to accelerate their model deployment to production leveraging Azure
mvbugge/llmops-promptflow-template
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
mvbugge/rag-experiment-accelerator
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
mvbugge/ResourceModules
This repository includes a CI platform for and collection of mature and curated Bicep modules. The platform supports both ARM and Bicep and can be leveraged using GitHub actions as well as Azure DevOps pipelines.