Reusable templates, pipelines, and tools to streamline the setup of GenAI projects, saving time and effort, and ensuring consistency and reliability across projects.
This article compares Azure Functions with pre-built indexers for data ingestion in Azure AI Search, with a focus on using Azure Functions for a flexible, scalable approach. It explores key steps like data migration, index creation, and deployment automation.
Deploy Azure Logic App Consumption with Managed Identity using Terraform by leveraging azapi_resource and ARM templates. This setup enables secure authentication without manual credential management.
In this article, we delve into techniques for extracting valuable insights from customer feedback using Large Language Models (LLMs). By identifying themes, sentiment, and competitor comparisons from feedback, businesses can gain a competitive edge.
In this blog post, we'll explore the challenges we faced in establishing LLMOps and continuous evaluation within a pipeline using Azure Machine Learning, particularly when dealing with long runs and a restricted Bring-Your-Own (BYO) network.
This blog post explores the development and evaluation of an AI assistant that converts natural language into robotic code.
Azure Machine Learning is known for training and deploying models, but can also be used for running experiments. This blog post will show us how we have implemented our Evaluation platform on Azure Machine Learning.
A synopsis of our key learnings and findings from using Semantic Kernel.
In the dynamic world of AI and data science developing production-level solutions for corporate environments comes with its own set of challenges and lessons. As a data science team working within Microsoft, we recently completed an engagement for a large company where we leveraged cutting-edge technologies, including OpenAI tools, GPT-4o for gener...
A practical guide for developers on connecting to Azure resources with private endpoints through a VPN.
