Latest posts tagged with #MLOps on Bluesky
11 patterns that make agent actions reversible when things go wrong Build agents that can undo, roll back, and recover safely — without turning every incident into a manual cleanup marathon. Cont...
#mlops #machine-learning #software-engineering #observability #artificial-intelligence
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The Data Engineering Revolution: Why 2026 is the Year of the Autonomous Backbone The technology landscape is undergoing a fundamental shift. We are moving beyond passive AI experiments toward auton...
#data-engineering #machine-learning #mlops #llm #artificial-intelligence
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Architectural Foundations of MLOps, AIOps, and LLMOps A Practical Production Blueprint for Modern AI Systems Most people think building the model is the hard part. It isn’t. Training a model in a...
#mlops #aiops #llmops #ai
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Запускаем LLM на AMD RX580: разбор проблем ROCm, Ollama и реальный GPU inference 3 дня борьбы с ROCm, RX580 и Ollama: как я запустил LLM н...
#radeon #rx #580 #llm #ollama #llama.cpp #docker #k8s #amd #legacy #mlops
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Запускаем LLM на AMD RX580: разбор проблем ROCm, Ollama и реальный GPU inference TL;DR Мы пытались запустить LLM inference на старой AM...
#amd #docker #k8s #legacy #llama.cpp #llm #mlops #Ollama #radeon #rx #580
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sometimes cheaper to hire PhDs and train for small task domains a fraction of training time,
that talk about efficiency in churning out bots with generalization skills. #MLOps #LLM
🤖 Por qué la IA convierte la gobernanza en una prioridad operativa
La adopción de IA impulsa la gobernanza más allá del cumplimiento normativo.
https://thenewstack.io/five-pillars-ai-governance/
#AIOps #Governance #MLOps #RoxsRoss
Adoptons l'ère du MLOps, transformons les défis en opportunités ! 🚀 #Innovation #MLOps #Agilité #IntelligenceArtificielle #Collaboration
🚀 Scaling AI from experiments to production is hard.
Enlight AIOps brings GPU orchestration, MLOps pipelines, observability & governance into a single AI operations platform.
Perfect for enterprises running large-scale AI workloads.
#AIOps #EnterpriseAI #MLOps #GPUCloud #AIInfrastructure
Safety Evals: 12 Questions Before You Trust the Pass Rate A sharper way to read AI safety evaluation results before a reassuring percentage turns into false confidence. Continue reading on Medium »
#llm-evaluation #ai-safety #mlops #benchmarking #machine-learning
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How to Containerize Your MLOps Pipeline from Training to Serving Last year, our ML team shipped a fraud detection model that worked perfectly in a Jupyter notebook. Precision was excellent. Recall ...
#Docker #mlops #production #Python
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Why Machine Learning Projects Fail Without Cloud Integration
www.ekascloud.com/our-blog/why...
#MachineLearning #CloudComputing #MLOps #ArtificialIntelligence #DataScience #CloudIntegration #TechEducation #FutureSkills #AIProjects #TechCareers #Ekas
Tired of paying per token every time you autocomplete a function?
GLM-5 — runs local, integrates with anything.
Works with: Ollama · Continuedev · LM Studio · llama.cpp · OpenWebUI · AnythingLLM
→ dub.sh/glm5
#LocalAI #OpenSource #GLM5 #Ollama #AnythingLLM #LLM #DevTools #MLOps #CodingAI #FreeAI
From Notebooks to Production: The Hard Truth About Deploying ML
www.ekascloud.com/our-blog/fro...
#MachineLearning #MLOps #AI #ModelDeployment #DataScience #TechCareers #ArtificialIntelligence #MLProduction #CloudComputing #Ekascloud #TechEducation #LearnAI #FutureSkills #ITCareers #AIEngineering
running llms at scale is a luxury most companies can't afford anymore. those cloud bills add up faster than any revenue from a novelty app. #AI #MLOps
running llms at scale is a bottomless pit of compute costs; if you’re not ready for a serious budget increase, you’re probably out of your depth. #MLOps #AI
A symphony doesn’t replay the whole score every second. So why should AI recompute everything from scratch? Let’s build smarter, more efficient models: https://efficiency.frux.pro/
#AI #LLM #MLOps #Efficiency
AI pilots are easy. Scaling them safely is harder.
Join us, sponsor Red Hat, and a panel of experts tomorrow for this FREE webcast on model meshes and secure, accountable agentic AI at scale.
Register now: https://ow.ly/QZtj50YrIAZ
#AgenticAI #EnterpriseAI #MLOps
🔒 OpenAI adquiere Promptfoo
Plataforma de seguridad para identificar vulnerabilidades en sistemas de IA durante su desarrollo.
https://openai.com/index/openai-to-acquire-promptfoo
#AISecurity #PromptEngineering #MLOps #RoxsRoss
In orchestration, repetition builds harmony.
In AI pipelines, it builds invoices.
Break the loop: https://efficiency.frux.pro/
#AI #MLOps #Automation
8 postmortem lessons from an LLM that learned the wrong policy A practical postmortem playbook for catching reward hacking, dataset drift, and “helpful-but-wrong” behaviors before they ship to ...
#machine-learning #mlops #postmortem #llm #ai-engineering
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Real elegance looks effortless. The same is true for AI infrastructure: the best performance comes from what you don’t notice—quietly optimized, reliably efficient. https://efficiency.frux.pro/
#AI #MLOps #Cloud #Efficiency
In MLOps, you monitored model drift.
In the Agent Era you monitor decisions.
An agent reasons, calls tools & retrieves context across multiple steps. Any step can fail silently.
Your old MLOps playbook didn't break. The problem just changed shape.
#AIObservability #LLMOps #MLOps
Production runs on #OpenAI, #Anthropic, or a fine-tuned #Llama with a SLA behind it.
#GLM-5 is genuinely good,
dub.sh/glm5, but "good on paper" and "good in prod" are still two different products.
#GLM5 #LLM #MLOps #AINews #BuildInPublic #AICoding #AIRevolution #Coding #Programming #DevTools #AI
Mozart showed that real complexity can sound effortless. Efficient AI should feel that way too—fast, clean, human. Explore: https://efficiency.frux.pro/
#AI #Efficiency #MLOps
Real-time decisions don’t always require complex AI. Sometimes a well-designed optimization model is enough. #Optimization #DecisionScience #InsurTech #MachineLearning #MLOps #EdgeComputing #LinearProgramming #OptimizationAtScale #towardsdatascience
towardsdatascience.com/decisioning-...
Most #AI teams don't have an evaluation strategy. They have an evaluation event.
Tested before launch. Shipped. Never looked back.
Meanwhile 3 new models dropped this month, 2 cheaper, 1 probably better for the task.
Here's a 5-step framework 2 fix that: michaelcizmar.com/blog/2026/03...
#MLOps
What a day...
Turning an RTX 5090 into a local GPU inference server is harder than expected. Power issues, memory crashes, driver headaches...
Thinking about switching to DeepInfra or renting a cloud GPU instead.
Anyone been through this?
#buildinpublic #mlops #gpu #inference
Scikit-learn just took a leap toward GPU-accelerated machine learning, and the Python community made it happen. 🚀
The latest Quansight blog by Lucy Liu gives the full update: buff.ly/RCcPty1
#ScikitLearn #MachineLearning #OpenSource #Python #GPU #ArrayAPI #DataScience #MLOps
ML “digital thread gap detector” for integrators: auto-compares CAD/PLM/ERP/CM records to spot missing serials, stale revisions, or broken links—cutting data-reconcile time and reducing wrong-config builds. What system is your biggest gap? #DefenseTech #MLOps
