Как меняются метрики контроля при переходе от чат‑ботов к агентным системам

Когда LLM перестаёт быть просто чат-интерфейсом и начинает сама планировать шаги, вызывать инструменты и общаться с другими агентами, ломаются и привычные способы контроля. В статье — о том, почему для агентных систем уже недостаточно мерить качество ответа, какие новые метрики нужны для оценки их работы и как меняются требования к безопасности, трассировке и эксплуатации таких архитектур.

https://habr.com/ru/companies/otus/articles/1017734/

#агентные_системы #AIагенты #мультиагентные_системы #LLM #Agentic_AI #безопасность_ИИ #контроль_агентов #трассировка_решений #tool_calling #ModelOps

🚀 $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

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#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/

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

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. 😉

#datascience #modelops #operationsresearch #orms

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

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