7 articles tagged with “mlops”.
AWS presents a solution for centralized monitoring of SageMaker Pipelines across AWS accounts and Regions using CloudWatch custom dashboards, backed by a CDK example on GitHub.
This article discusses the lessons learned from building the Shippy agent, focusing on design principles for effective AI agents.
The Hugging Face Blog discusses the intricacies of model routing, highlighting challenges that arise in AI systems and their impact on performance.
An AWS blog post explains four deployment patterns for serving Unsloth-quantized models on AWS infrastructure, covering EC2, SageMaker AI endpoints, EKS, and ECS.
The article delves into various profiling methods in PyTorch, emphasizing attention mechanisms in models to optimize performance.
This blog post addresses common mistakes in MCP tool design and offers practical strategies for effective context engineering.
AWS details five new inference capabilities for SageMaker HyperPod, including multi-tier data capture, direct Hugging Face Hub deployment, NVMe model loading, Route 53 DNS, and pod-level IAM.