Generative AI | News, how-tos, features, reviews, and videos
The toolkit for building generative AI applications has been packaged with new updates to form the Azure AI Foundry service.
How can enterprises secure and manage the expanding ecosystem of AI applications that touch sensitive business data? Start with a governance framework.
The Go team is working to adapt Go to large multicore systems, the latest hardware instructions, and the needs of developers of large-scale AI systems.
Debugging and productivity improvements also feature in the latest release of Microsoft’s signature IDE, built for .NET 9.
Cloud-native apps, AI-enabled apps, ASP.NET Core, Aspire, Blazor, MAUI, C#, and F# all get boosts with the latest major rev of the .NET platform.
Cloud-based AI and machine learning platform also adds support for Nvidia NIM, AMD GPUs, the vLLM runtime for KServe, KServe Modelcars, and LoRA fine-tuning.
Internal developer portal for platform engineering teams provides five templates for building AI-enabled audio-to-text, chatbot, code generation, object detection, and retrieval-augmented generation applications.
Failed AI projects waste time and resources, damage reputations, and stifle innovation. To succeed with AI, put the necessary practices in place to ensure high-quality data.
Want your digital initiatives to succeed? Put the business and tech teams in the same sandbox and let them work together.
For years, private clouds pushed traditional on-prem hardware. Will the recent move towards specialized private clouds, especially for AI, be different?
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