#HuggingFace #VSCode #ModelOps
https://medium.com/@rogt.x1997/7-models-to-try-in-vs-code-ranked-for-code-multimodal-and-long-context-jobs-010d60780931
🚀 $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. 🧠⚙️
#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
Master Advanced Analytics with SAS Viya | CoListy
Learn advanced analytics, machine learning, and AI with SAS Viya. Optimize models, forecasting, and more. | CoListy
#freeonlinelearning #colisty #courselist #sasviya #advancedanalytics #predictivemodeling #machinelearning #timeseriesforecasting #optimization #aialgorithms #generativeai #imagedata #textdata #streamingdata #modelops #trustworthyai
https://colisty.netlify.app/courses/sas-analytics_-getting-started/
🤖 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
#AI #machinelearning #devsecops #gitlab #gpu #docker #nvidia #googlecloud
Take a tour of a decision model testing galaxy with us on May 24: https://www.nextmv.io/videos/build-decision-models-with-confidence-working-with-testing-in-optimization
Bring your towel. 😉
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
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
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