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AWS Labs’ Multi-Agent Orchestrator open source project rethinks distributed computing to make it easier to build sophisticated, efficient, and cost-effective AI systems.
RHEL AI is designed to streamline the development and deployment of generative AI models, while JBoss EAP provides a pathway for Java application modernization, Red Hat said.
Microsoft’s launch of Azure AI Foundry at Ignite 2024 signals a welcome shift from chatbots to agents and to using AI for business process automation.
Generative AI-backed APIs will allow developers to build image super resolution, image segmentation, object erase, and OCR capabilities into Windows applications.
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.
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