@jmm86.bsky.socialNexspence v2.8.0 is out: Hugging Face Hub becomes the 18th artifact format, Azure Blob Storage joins as a storage backend, and OIDC role sync reads Google Workspace groups. Plus a repo-type filter in the UI and fixes so SSO/LDAP no longer wipe roles. AGPLv3. nexspence.com #MLOps #DevOps #OpenSource
@jmm86.bsky.socialConsider starting with failure scenarios to prepare for unexpected data issues. How can you test and robustify your workflow? #MLOps
@vicky-grok.bsky.social
@aiaiai3355xx.bsky.social「なぜ自分の機械学習モデルは本番環境で腐るのか」…夜な夜なMLOpsの泥沼にハマってませんか？特徴量のドリフト対策は、定期的な再学習の自動化よりも、入力データのスキーマ検証を厳格にやる方が圧倒的にコスパ良い。みんなはどうしてる？ #Python #MLOps
@labintelligence.bsky.socialWhat happens before a card is published?
Source → checks → model/rules → validation → gate → output. A workflow should be…
Which step should we open with data and failure modes?
Details and method → https://labintelligence.dev/go/method/en/
#MLOps #automation #LIwf19
@hackernoon.comAgentic AI changes the cost surface. Here’s how to attribute spend, cap runaway behavior, and build FinOps into AI infrastructure from day one. #mlops
@krishna17.bsky.social🚀 𝗠𝗟𝗢𝗽𝘀 𝗖𝗮𝗿𝗲𝗲𝗿 𝗣𝗮𝘁𝗵: 𝗦𝗸𝗶𝗹𝗹𝘀, 𝗝𝗼𝗯𝘀, 𝗦𝗮𝗹𝗮𝗿𝘆 & 𝗙𝘂𝘁𝘂𝗿𝗲 𝗦𝗰𝗼𝗽𝗲
📖 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗯𝗹𝗼𝗴: www.linkedin.com/feed/update/...
🎓 𝗟𝗲𝗮𝗿𝗻 𝘄𝗶𝘁𝗵 Visualpath
🌐 𝗩𝗶𝘀𝗶𝘁: www.visualpath.in/mlops-course...
#MLOps #MLOpsCareer #MLOpsEngineer #MachineLearning #AI #DevOps #CloudComputing #OnlineTraining #CorporateTraining
@dmytro-nasyrov.bsky.socialA cheaper model can leave the expensive workflow unchanged.
Pharos Production baselines business metrics during AI discovery. Count retries and human review before claiming savings.
pharosproduction.com
@tmtabor.ioWhen a model struggles with a specific output structure in production, trace-derived training data, a task-native eval harness and iterative LoRA fine-tuning is a repeatable playbook. #MLOps
@krishna17.bsky.social🚀 𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗟𝗢𝗽𝘀 & 𝗔𝗜𝗢𝗽𝘀 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 | 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗙𝗥𝗘𝗘 𝗗𝗲𝗺𝗼!
📅 𝗗𝗮𝘁𝗲: 26 September 2026
🕗 𝗧𝗶𝗺𝗲: 9:00 AM IST
👨🏫 𝗧𝗿𝗮𝗶𝗻𝗲𝗿: Mr. Arpan Ghosh
🔗 𝗝𝗼𝗶𝗻 𝗟𝗶𝗻𝗸: bit.ly/4djzTjh
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📞 𝗖𝗮𝗹𝗹: +91 7032290546
🌐 www.visualpath.in/mlops-aiops-...
@dmytro-nasyrov.bsky.socialValidate the model, prompt, tools, retrieval and runtime as a set. Preserve current access controls. Reconcile earlier actions separately.
Manifest: hackmd.io/@dmytro-nasy...
@dmytro-nasyrov.bsky.socialRolling back the model can leave the failure in place.
A changed tool contract can still break the restored model's calls. Pharos Production's AI agent delivery includes rollback procedures.
pharosproduction.com
@ideidev.bsky.socialMiami companies can skip AI hiring delays with staff augmentation. Senior ML engineers, data scientists, and MLOps specialists join your sprints fast. Learn more: https://codeponents.com/ai-staff-augmentation-miami-deterministic-sprint-execution/?ref=2&rid=231 #AI #Miami #StaffAugmentation #MLOps
@ai-bloom.warp-studio.com
@darryl-ruggles.cloud#Jev #TypeSafeAI #StructuredOutputs #AIEngineering #MLOps
I guess it's possible you have not heard about Jev yet but it has taken over the internet in the last week.
@trynoguard.bsky.social
@sergiocuellar.bsky.socialExciting news from Google Cloud! The new Orchestration Pipelines framework, along with the Data Agent Kit, democratizes data pipeline orchestration for all data professionals. 🚀🔗 #GoogleCloud #DataEngineering #MLOps
@ramikrispin.bsky.socialA new tutorial in my Docker 🐳 101 series for AI developers — this time focusing on running a container 👇🏼
@hookflowai.bsky.social
@mrviind.bsky.socialAI coding agents might make apps look good, but watch out for hidden bugs. Always check the backend. What do you think about this? 🤔 Do you think this AI code should be regulated or left to evolve freely? #llm #aitools #mlops #ai #technology
