data science and software engineering teams can choose the best tools for their respective roles in delivering machine learning models to production.
How to manage multiple independent python projects, with different dependencies, inside Visual Studio Code.
This post discusses a strategy for creating a custom extensible configuration module in python projects.
Apache spark monitoring using OpenTelemetry
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.
