Put model choice where your code lives — inside VS Code. I tested Hugging Face + Copilot Chat for a week: fewer tabs, faster fixes, and a one-week experiment that trims PR churn. Practical guardrails and a two-minute audit included. ☕💬🛠️
#HuggingFace #VSCode #ModelOps
https://medium.com/@rogt.x1997/7-models-to-try-in-vs-code-ranked-for-code-multimodal-and-long-context-jobs-010d60780931
7 Models to Try in VS Code : Ranked for Code, Multimodal and Long-Context Jobs

A compact ranking of open models you can route through Hugging Face providers today

Medium

🚀 $3.83 Billion by 2025? That’s the MLOps market powering GenAI at scale.
Discover the 5-stage blueprint keeping LLMs from going rogue – from hallucination drift to real-time prompt correction. 🧠⚙️

🔗 Read now: https://medium.com/@rogt.x1997/3-83-billion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b

#GenAI #MLOps #AIEngineering #ModelOps #LLM #AIStack
https://medium.com/@rogt.x1997/3-83-billion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b

$3.83 Billion by 2025: Why MLOps Is Becoming the Backbone of Scalable AI

Generative AI dazzles us with prose, code, art, and more — but beneath the surface, these systems are chaotic, fragile, and computationally hungry. MLOps exists to bring order to this chaos. By 2025…

Medium
🧠🚨 87% of GenAI Failures Were Preventable
What’s keeping your LLMs from derailing?
Discover how a battle-tested MLOps framework keeps hallucinations, drift, and latency in check — from data pipelines to live monitoring.
Read here 👉 https://medium.com/@rogt.x1997/87-of-genai-failures-were-preventable-this-mlops-framework-shows-how-f968505990c1
#MLOps #GenAI #AIEngineering #AIOps #ModelOps
https://medium.com/@rogt.x1997/87-of-genai-failures-were-preventable-this-mlops-framework-shows-how-f968505990c1
87% of GenAI Failures Were Preventable: This MLOps Framework Shows How

Generative AI is no longer novel — it’s omnipresent. From enterprise dashboards to personal assistants, code generation to real-time simulation, it has redefined the digital experience. But these…

Medium
Master Advanced Analytics with SAS Viya

Learn advanced analytics, machine learning, and AI with SAS Viya. Optimize models, forecasting, and more. | CoListy

Alan Fish at DecisionCAMP 2023 (paraphrased):

"#ModelOps is about managing the performance of models. #DataOps is about the correctness of data."

🤖 Ready to train your AI?

🌱 GitLab Runners with Docker and Nvidia GPU access
🏗️ First steps using runners in CI/CD
⚡ Examples for #ModelOps with Python, Scientific simulations and #HPC
💡 Hands-on Python Model training with custom Docker images
💥 #Jupyter notebook model training for ML-powered GitLab Issue triage

https://go.gitlab.com/l6CIzR

#AI #machinelearning #devsecops #gitlab #gpu #docker #nvidia #googlecloud

Empower ModelOps and HPC workloads with GPU-enabled runners integrated with CI/CD

Learn how to leverage our GitLab-hosted GPU-enabled runners for ModelOps and high-performance computing workloads.

GitLab
Build decision models with confidence: Working with testing in optimization

Optimization model testing plays a key role in ensuring smooth yet improving business operations. But the testing universe is big and sometimes unwieldy. Learn how to get started with a unified decision model testing framework.

Should you deploy that new decision model to your production systems? Acceptance testing can help you decide. We look at the what, why, when, and how: https://www.nextmv.io/blog/what-is-acceptance-testing-for-optimization-models

#orms #modelops #foodlogistics #datascience #decisionops

What is acceptance testing for optimization models?

You’ve got a production decision model and an updated decision model. Should you ship the new model to prod? Will the new model meet your acceptable KPI thresholds? Acceptance testing provides the answers by delivering a documented, repeatable decision-making process.

Crossing the deployment divide for your custom decision model doesn’t have to be difficult. See how to get a model to a production environment (with your very own API endpoint) in less than 4 minutes: https://www.nextmv.io/deployment

#modelops #orms #optimization #devops

Decision optimization model deployment

Deploy decision optimization models for vehicle routing, scheduling, and allocation in minutes to production environments with a few commands. Good for MIP, LP, decision diagram-based models.

See how to take a locally developed MIP knapsack model using HiGHS and deploy it to the cloud in minutes: https://www.youtube.com/watch?v=t-OIZgrMNSc

#modelops #orms #optimization

Deploy a HiGHS MIP knapsack model (with a custom endpoint)

YouTube