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 ...
The excitement around generative AI has pushed large language models (LLMs) to the forefront of enterprise software development--but getting those models into production is where the real complexity ...
Devops teams are partnering with AI copilots and agents to manage multicloud complexity. Here are seven ways genAI can improve multicloud adoption, governance, observability, and more.
As agent-based AI systems grow more sophisticated, developers are moving well beyond basic Retrieval-Augmented Generation (RAG) into a new era of autonomous, tool-integrated, and multi-agent ...
For Microsoft, the Perplexity deal boosts its efforts to position Azure as the place to build AI applications and deploy ...
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 ...
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