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AWS re:Invent 2025 - Streamline AI model development lifecycle with Amazon SageMaker AI (AIM364)
AWS re:Invent 2025 - Customize AI models & accelerate time to production with Amazon SageMaker AI
AWS re:Invent 2025 - Building .NET AI Applications with Semantic Kernel and Amazon Bedrock (DEV302)
AWS re:Invent 2025 - What's new with Amazon SageMaker in the era of unified data and AI (ANT216)
AWS re:Invent 2025 - NVIDIA Run:ai & Amazon SageMaker HyperPod Integration for Distributed Training
AWS re:Invent 2025 - Implement Agentic AI at the edge for industrial automation (HMC317)
AWS re:Invent 2025 - Scaling foundation model inference on Amazon SageMaker AI (AIM424)
AWS re:Invent 2025 - Customize & scale foundation models using Amazon SageMaker AI (AIM363)
Live From AWS re:Invent 2025: Real World AI Use Cases With Amazon SageMaker
AWS re:Invent 2025 -NFL Fantasy AI: Zero to Production in Weeks w/ Bedrock and Strands Agents-SPF304
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Last Updated: October 3, 2026
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Perfect for both newcomers and experienced practitioners looking to accelerate their Customizing models often requires lengthy iteration cycles. Now This code-first session demonstrates how to transform .NET applications into powerful Enterprise developers face challenges processing diverse unstructured content across multiple formats, often requiring complex ... Manufacturing and industrial operations demand Learn how to optimize and deploy popular open-source models Qwen3, GPT-OSS, and Llama4 Foundation models are able to solve a wide array of tasks, however to solve most tasks effectively, these models require some ...
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