MLOps

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

 LLMs  Content type: Academic
arxiv.org·
Less-relevant results

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

 LLMs  Content type: Code
github.com··Hacker News

From Jupyter Notebook to production: How to ship AI systems that actually work

 🐍Python

RubyLLM 1.16: concurrent tool execution, Rails-style instrumentation, and more

 🤖AI  Content type: Code
github.com··Hacker News

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum

 🎯Recommendation Algorithms  Content type: Academic
arxiv.org·

Only 2.5% of 12,779 tech job listings are entry-level

 Developer Experience

AIchain Skill: A Prompt as a Reusable Object

 🤖AI  Content type: Code
github.com··DEV

tetherto/qvac: QVAC - Local AI SDK and libraries for building private, cross-platform, peer-to-peer AI applications. Run LLMs, speech-to-text, translation, and more locally on Linux, macOS, Windows, Android, and iOS.

 Edge AI  Content type: Code
github.com·

omarluq/librecode: free and open source terminal agent harness

 🔌Claude Plugins  Content type: Code

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