MLOps

ML engineering, model deployment, production AI, 工程落地

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Architecturally Significant MLOps Guidelines for ML Model Integration and Deployment: a Gray Literature Review

 ⚙️Feature Engineering  Content type: Academic
arxiv.org·

Predicting the World Cup Winner: Live Coding with Hopswor...

 ⚙️Feature Engineering
hopsworks.ai··Hacker News

Agent-as-a-Code in Databricks for Production

 🤖AI Agents  Content type: Blog
medium.com·

Tejas-TA/predikit: The missing bridge between your ML models and your AI agents.

 Machine Learning  Content type: Code
github.com··Hacker News

When your data model is the bottleneck: lessons from Medium’s feature store

 ⚙️Feature Engineering
thenewstack.io·

15 years of Software Center – A Look in the Mirror and over the Front Windshield

 🤖AI Agents  Content type: Blog
metrics.blogg.gu.se·

This Exclusive Meet-and-Greet at EPCOT Looks Totally Different Now!

 🤗Hugging Face  Content type: Blog
disneyfoodblog.com·

AI Serving Platform That Adapts to Your Model

 Machine Learning  Content type: Blog
databricks.com·

Lakeshore Lodge is Not a Mixed-Use Disney World Resort Hotel, But That Doesn’t Really Matter.

 🧠LLM  Content type: Blog

SDLC vs. AIDLC: Why Data Engineering is Pushing the Boundaries of Software Development

 ⚙️Feature Engineering  Content type: Blog
medium.com·

New comment by HorizonFlowLive in "Ask HN: Who wants to be hired? (June 2026)"

 🕸️LangGraph  Content type: Discussion

The Hidden Tax Killing Your ML Team’s Velocity – And the Architecture Decision That Fixes It

 ⚙️Feature Engineering  Content type: Blog
medium.com·

Bring your own evaluation framework to EvalHub

 🎯Fine-tuning

AI Governance Tools: How To Achieve Compliance and Visibility

 🤖AI Agents  Content type: Blog
blog.n8n.io·

Day 07 of MLOps: Hands-On Experiment Tracking for Machine Learning Models

 Machine Learning  Content type: Blog
medium.com
·

Article Series: Securing the AI Stack: From Model to Production

 🤖AI Agents  Content type: News
infoq.com·

Monitor Nebius AI Cloud with Datadog

 🤖AI Agents  Content type: Blog
datadoghq.com·

New comment by Revanthkodati in "Ask HN: Who wants to be hired? (June 2026)"

 Machine Learning

Location: Lubbock, TX, USA Remote: Yes (Remote-friendly, US-based) Technologies:...

 🕸️LangGraph  Content type: Discussion

Issue #390 - The ML Engineer 🤖

 Machine Learning  Content type: News  Content type: Blog

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