The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

Microsoft is steadily broadening Azure's AI platform so developers have both richer building blocks for AI application development and more flexibility in where those applications can run. The effort ...

Modern AI is about a lot more than chatbots, as shown by Microsoft’s Ignite 2024 pivot to using its stable of large and small language models to power autonomous agents. Much of its focus was on using ...

Microsoft is consolidating its Azure generative AI tools into a unified platform named Azure AI Foundry. The company, which announced the new offering at the opening day of its Ignite IT pro ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...

As more organizations build applications with Azure AI services, security teams and developers are encountering new challenges tied to identity, data access and endpoint exposure. Traditional security ...

Jean Joseph, a data & AI engineer with deep expertise in database development, will explain how to build AI-powered applications with Azure Database for PosgreSQL at at upcoming developer conference.

ServiceNow detailed its use of Microsoft’s virtualized, high-performance block storage for AI processing. The enterprise tech giant leveraged Microsoft Azure Ultra Disk Storage, which is touted by the ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Want to pass the Microsoft AI-102 Azure AI Engineer certification exam on your first try? You ...