Built an orchestrator. Every metric was green. Then I read the routing traces carefully and saw it had been routing commercial work through models that explicitly prohibit it. Quietly. Confidently. The whole time. https://praveenlavu.com/dispatch/the-router-didn-t-know-the-rules/ #MLOps #LLMOps

New paper proposes Reward-rate Policy Gradient (RPG) for ML engineering agents, adapting continuous-time RL and SMDPs to optimize reward per unit time rather than cumulative reward alone. This addresses…

#AI #ReinforcementLearning #MachineLearning #MLOps
https://arxiv.org/abs/2609.36393

Ein RAG-Prototyp läuft schnell. Produktionsreif wird er erst mit MLOps. Zwei Tage AI Engineering Bootcamp mit Jan-Torben Evers: RAG, MCP, End-to-End-Pipelines. 15.–16.10.2026 in Berlin.
→ https://software-architecture-summit.de/berlin/genai_und_mlops_meistern-berlin-2026/

#MLOps #AIEngineering

🚀 Scaling Enterprise AI needs reliable MLOps workflows.

Learn practical approaches for automated training, CI/CD, model deployment, monitoring, retraining, security, and governance.

📖 Read the full blog: [ visualpathblogs.com/mlops/how-to... ]

#MLOps #EnterpriseAI #MachineLearning #AI #Visualpath

Mastering CI/CD Pipelines for AI Applications – A Complete Guide for 2026

Discover how to design, implement, and optimize CI/CD pipelines for AI/ML projects. Real‑world examples, tool comparisons, and best pract…

https://ai-blog-seven-wine.vercel.app/en/posts/2026-09-30-am-68n7g

#CI/CD #AI #MLOps

Leveraging open-source for seamless AI on Kubernetes. What challenges might users face in integrating #TauGrid with existing #MLOps pipelines?

Microsoft has open-sourced #TauGrid, cloud-native AI infrastructure platform designed to make running GPU workloads on Kubernetes easier.

#AI #ArtificialIntelligence #Kubernetes #GPU #AIInfrastructure #CloudNative #OpenSource #MachineLearning #MLOps #KubeRay #Kueue #Azure

github.com/Azure/taugrid

🎯 𝗙𝗿𝗼𝗺 𝗠𝗼𝗱𝗲𝗹 𝘁𝗼 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗢𝗽𝘀 𝗢𝗻𝗹𝗶𝗻𝗲 𝘄𝗶𝘁𝗵 𝗩𝗶𝘀𝘂𝗮𝗹𝗽𝗮𝘁𝗵!

✨ 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗠𝗮𝘀𝘁𝗲𝗿:
✅ Build ML workflows with Python
✅ Track models with MLflow
✅ Automate with Git, Jenkins & CI/CD

🎁 𝗝𝗼𝗶𝗻 𝗼𝘂𝗿 𝗙𝗥𝗘𝗘 𝗟𝗶𝘃𝗲 𝗗𝗲𝗺𝗼
📞𝗖𝗮𝗹𝗹: +91 7032290546
🌐𝗘𝗻𝗿𝗼𝗹𝗹 𝗻𝗼𝘄: www.visualpath.in/mlops-course...

#Visualpath #MLOps

RAGWarrant frames RAG deployment as a constrained evidence decision, normalizing evaluator outputs and applying predeclared quality and risk gates before emitting auditable PROMOTE, BLOCK, REJECT, or INCONCLUSIVE verdicts. Worth a look…

#RAG #GenAI #MLOps #Evals
https://arxiv.org/abs/2609.34179

Amazon Textractアダプターの複数アカウント間ライフサイクル管理自動化に関する技術レポート

Textractアダプターのライフサイクル管理自動化戦略

#AmazonTextract #AWS #MLOps #IaC #DocumentProcessing

For IoT devices used in healthcare, identifying cybersecurity threats is just one step in the process.
Here, in this blog, Vipul explains how MosChip created a scalable MLOps pipeline for Medical IoT security.

Read the full blog: zurl.co/NVslV

#MLOps #CyberSecurity

Cheap AI probes predict costly training—only when tasks share representation space. Otherwise they mirror your assumptions. Know the limits. #AI #MachineLearning #FineTuning #MLOps

https://freegardner.com/synapse/when-cheap-ai-probes-predict-costly-training.html

Gradio scores D in trust: 7 high CVEs, 100% unpatched despite max CVSS 8.2. ML demos ship exposed. #cybersecurity #infosec #MLOps https://www.valtersit.com/vendors/gradio/

Explore Amazon #MLOps and Neural Networks. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
geni.us/Explore-NNs

Component of #MLOps Platform for #MachineLearning in Production. @abacusai #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Programming #Coding #100DaysofCode
abacus.ai

Only 78% of validated AI models reach production. Tech is rarely the failure point; absorption is. A 12-dimension diagnostic routes readiness gaps: https://bit.ly/intelligence-readiness-system-kamyar-diagnostic #MLOps #EnterpriseAI #TechOps #DigitalStrategy

Ein KI-Modell zum Laufen bringen ist leicht. Es sicher und skalierbar in die Architektur einbetten nicht. SWARC4AI mit Alessandro Buttignon: Data Governance, MLOps, GenAI.

📅12.–14.10.2026, München.
→ https://software-architecture-camp.de/modul-swarc4ai-softwarearchitektur-fur-ki-systeme/

#MLOps