#mlops kết quả tìm kiếm
𝐇𝐨𝐰’𝐬 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐛𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐈𝐎𝐩𝐬 𝐚𝐧𝐝 𝐌𝐋𝐎𝐩𝐬 𝐭𝐨𝐝𝐚𝐲? #𝐀𝐈𝐎𝐩𝐬 𝐤𝐞𝐞𝐩𝐬 𝐭𝐡𝐞𝐦 𝐚𝐥𝐢𝐯𝐞. #𝐌𝐋𝐎𝐩𝐬 𝐤𝐞𝐞𝐩𝐬 𝐭𝐡𝐞𝐦 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠.
[Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0 —————— #AI #ML #DataScience #DeepLearning #DataScientists
![KirkDBorne's tweet image. [Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0
——————
#AI #ML #DataScience #DeepLearning #DataScientists](https://pbs.twimg.com/media/G2EYBkJXYAA7FFR.jpg)
⚙️ Build ML pipelines with #Azure CLI + YAML! 📁 Modular components 🔄 Reusable workflows 🧠 Train, evaluate & deploy with ease Start here 👉msft.it/6014svH90 #MachineLearning #MLOps
⚙️ Made With ML (MLOps): Definitive guide to production-grade ML. 👉 github.com/GokuMohandas/M… #MLOps #AI #MachineLearning
Is Terraform worth learning? Is it useful even for small projects? Here’s my take. #DevOps #MLOps #AI
🧩 Build ML pipelines with #Azure ML SDK v2! 🖼️ Prep data, train CNN, score results ⚡ Fast, reusable, and production-ready 📦 Fashion MNIST + Keras + YAML + Python Start here 👉msft.it/6011svHHz #MachineLearning #MLOps
🐍 Join us for the Oct #Bangpypers meetup on Oct 11! Talks on: - ArgoCD / Workflow - End-to-End LLM Lifecycle with MLflow - Measuring & Optimising Python Memory Footprint RSVP + details👉 meetup.com/bangpypers/eve… RSVP Closes tomorrow! #Python #MLOps #ArgoCD
Baseline first: define KPIs, guardrails, and rollback. Autonomy without oversight is just luck. #MLOps #AIGovernance
Just dropped a new blog post! 🚀 I'm breaking down how to move your machine learning projects from Docker to Singularity for use in high-performance computing (HPC) environments. Check it out! #MLOps #Docker #Singularity #HPC #MachineLearning mostafaelaraby.com/tutorials/2025…
I built llm-use-agentic, an autonomous LLM orchestrator that discovers models, adapts routing, and optimizes API usage. It’s production-ready with monitoring, self-healing, and intelligent agent coordination. Check it out: github.com/llm-use/llm-us… #AI #LLM #MLOps #opensource
4 key ML training paradigms: - Transfer Learning - Fine-tuning - Multi-task Learning - Federated Learning Master these to level up your ML intuition #MachineLearning #AI #MLOps #METAA #MridulTiwari #KiteAI #SaWWorldTourDubai
昨日の登壇資料です！ LLMをプロダクトに組み込む際のobservabilityについて発表しました speakerdeck.com/ivry_presentat… #mlops #MLOpsコミュニティ
AI is reshaping everything, but solid DevOps practices are now crucial to deploying these powerful tools responsibly and effectively. #AI #DevOps #MLOps
10/22（水）にMLOps勉強会10/22（水）を開催します！ ご登壇は @Getty708 『ML Pipeline の開発と運用を OpenTelemetry で繋ぐ！』、 @po3rin 『LangfuseのTrace書き込み失敗から学ぶLLMOpsを支える技術』です！ ぜひご参加ください！ mlops.connpass.com/event/369838/ #mlops #mlopsコミュニティ
I built llm-use-agentic, an autonomous LLM orchestrator that discovers models, adapts routing, and optimizes API usage. It’s production-ready with monitoring, self-healing, and intelligent agent coordination. Check it out: github.com/llm-use/llm-us… #AI #LLM #MLOps #opensource
10/22（水）にMLOps勉強会10/22（水）を開催します！ ご登壇は @Getty708 『ML Pipeline の開発と運用を OpenTelemetry で繋ぐ！』、 @po3rin 『LangfuseのTrace書き込み失敗から学ぶLLMOpsを支える技術』です！ ぜひご参加ください！ mlops.connpass.com/event/369838/ #mlops #mlopsコミュニティ
物体検出、画像解析、MLOpsのさわりを解説。連休のスキマ時間に最新キーワードをチェック✅ #物体検出 #画像解析 #mlops innovationhub.cac.co.jp/n/n2f3129b6ff1…
1/ Most people can train a model. But few can run it reliably in the real world. That’s where MLOps comes in — the bridge between machine learning and production. #AI #MLOps
4 key ML training paradigms: - Transfer Learning - Fine-tuning - Multi-task Learning - Federated Learning Master these to level up your ML intuition #MachineLearning #AI #MLOps #METAA #MridulTiwari #KiteAI #SaWWorldTourDubai
⚙️ Made With ML (MLOps): Definitive guide to production-grade ML. 👉 github.com/GokuMohandas/M… #MLOps #AI #MachineLearning
AI is eating software, but DevOps practices are evolving to help us digest it. How will #AIops and #MLOps reshape your workflow? #FutureOfWork
🔥 AIOps está en alta demanda en el mercado, pero ¿por qué? codigofacilito.com/codigofest?utm… Prepárate para aprender de Antonio Feregrino Staff MLOps Engineer en Simply Business #CódigoFest #IA #MLOps
Barr Moses maps ten shifts steering data teams into 2025 - from AI-native tooling to real-time governance. The standout for me: treating model observability as a product feature, not an after-thought. Easier said than done but spot on. #DataOps #MLOps #AI towardsdatascience.com/10-data-ai-obs…
𝐇𝐨𝐰’𝐬 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐛𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐈𝐎𝐩𝐬 𝐚𝐧𝐝 𝐌𝐋𝐎𝐩𝐬 𝐭𝐨𝐝𝐚𝐲? #𝐀𝐈𝐎𝐩𝐬 𝐤𝐞𝐞𝐩𝐬 𝐭𝐡𝐞𝐦 𝐚𝐥𝐢𝐯𝐞. #𝐌𝐋𝐎𝐩𝐬 𝐤𝐞𝐞𝐩𝐬 𝐭𝐡𝐞𝐦 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠.
The discussion around AI susceptibility to 'data poisoning' struck a chord. I've found that robust data validation and diverse sourcing are non-negotiable. What's your strategy for ensuring AI model integrity in sensitive applications? #AI #MLOps
Data science and cloud native add new complexity. Learn how to build secure, scalable AI/ML pipelines at Cloud Native Now Virtual (Oct 30) with Ram Iyengar, Chief Evangelist at @cloudfoundry. 👉 buff.ly/SUTFMqc #CloudNativeNow #AI #MLOps #CloudNative #DevOps
5️⃣Final Thoughts Finishing this book + the FastAPI lessons feels like a turning point. I’m not just learning to build models, I’m learning to build them responsibly. Can’t wait to apply everything I’ve learned. #MachineLearning #AI #MLOps #FastAPI #ChipHuyen #100DaysOfML
ブロンズ会員様向けPatre0n更新しました🌸 プロフィールから見てみてね♪ 次回はリコリス・リコイルの井ノ上たきなちゃん❣️ 本日からBO0THにて10月前半分のイラストまとめを先行販売しました🎵 #リコリス・リコイル #井ノ上たきな ▼Illustration in 4K✨
Sunset shimmer ❤️🧡💛 #mlp #mlpart #mlpfanart #mlpsunsetshimmer #sunsetshimmer #sunsetshimmerart #sunsetshimmerfanart #mlpeqg
The four Princesses #mlp #mylittlepony #pony #mlpart #mlpfanart #princesscelestia #princessluna #princesscadance #twilightsparkle
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