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Deploying Kubeflow as an Azure ML Alternative
7+ hour, 41+ min ago (1231+ words) Azure Machine Learning is Microsoft's cloud-native machine learning platform that provides experiment... Tagged with kubernetes, machinelearning, mlops, python....
Learning Weight Perturbations during Neural Network Training
1+ day, 10+ hour ago (56+ words) (IMAGE) EurekAlert! Read more about the new world-class SUNY discoveries that are available for licensing at SUNY TechConnect. The Research Foundation offers numerous pathways to translate SUNY innovation into economic development opportunities. State University of New York More on this…...
Near-Equilibrium Propagation Training in Nonlinear Wave Systems
1+ day, 8+ hour ago (836+ words) APS Journals It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any…...
Applied Sciences, Vol. 16, Pages 9433: MSP-LLM: A Knowledge-Guided Multi-Scale Time-Series Language Model for Slag Tin Forecasting in Top-Blown Furnace Smelting
1+ day, 11+ hour ago (393+ words) Slag tin content is a key quality indicator in top-blown furnace tin smelting. For accurate forecasting, noisy, minute-level process signals must be linked to sparse and delayed slag assays. Limited research has been conducted on the use of large language…...
Applied Sciences, Vol. 16, Pages 9395: Unsupervised Day–Night Domain Adaptive Image Classification Based on Target-Domain Discriminative Enhancement
1+ day, 20+ hour ago (363+ words) Day–night image classification under low-light conditions faces substantial domain shift, uncertain target-domain predictions, and unreliable pseudo-label supervision. To address these challenges, this paper proposes an unsupervised day–night domain adaptation method for image classification based on target-domain discriminative enhancement....
How to Become an MLOps Engineer in India: The Honest Route
1+ day, 17+ hour ago (275+ words) As artificial intelligence and machine learning become part of everyday business, companies need more than just people who can build…Continue reading on Medium » How to Become an MLOps Engineer in India: The Honest Route As artificial intelligence and machine…...
Daniel Svonava: Centralized Queues Double GPU Throughput for Fleets of Small AI Models — BigGo Finance
4+ day, 8+ hour ago (245+ words) Svonava's benchmark is striking: "We have experimented with the VLM and SGLang routers for small models and this sort of traffic and it's very hard to get your GPU utilization beyond 20-30% under constant load." The problem is batch sizing. Predicting…...
MLOps Best Practices 2026
4+ day, 19+ hour ago (1328+ words) {"title": "MLOps Best Practices 2026: Scaling AI from Prototype to Enterprise Production", "content": "### Introduction\n\nThe landscape of machine learning has undergone a seismic shift. We are no longer in the era of isolated Jupyter notebooks and sporadic model deployments; we…...
Building a Production-Grade End-to-End MLOps Pipeline from Scratch
5+ day, 8+ hour ago (400+ words) A step-by-step walkthrough of building a complete MLOps pipeline with DVC, MLflow, FastAPI, Docker, GitHub Actions, Prometheus, and Evidently AI — covering the entire ML lifecycle from data versioning to drift detection. Tagged with mlops, machinelearning, python, devops....
From Zero to Backprop: Building a Neural Network Framework in C++
6+ day, 9+ hour ago (1315+ words) Driven by my curiosity to understand what happens under the hood of machine learning frameworks, I spent my summer before university …...