Model Deployment, ML Pipelines, Monitoring, Versioning

Why MLOps Is Critical for Modern AI Deployment
dev.to·21h·
Discuss: DEV
🧠Machine Learning
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·17h
⚙️Model Fine-tuning
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Production-Grade Machine Learning Through MLOps
blog.devops.dev·4d
🧠Machine Learning
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Raising the Bar on ML Model Deployment Safety
uber.com·1d
📈Model Evaluation
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Building AI-Powered APIs in Minutes, Not Months
dev.to·23h·
Discuss: DEV
⛓️LangChain
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Milestones in open weights AI: what models shaped your journey?
reddit.com·6h·
Discuss: r/LocalLLaMA
⚙️Model Fine-tuning
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A Beginner’s Guide to Getting Started with add_messages Reducer in LangGraph
langcasts.com·19h·
Discuss: DEV
⛓️LangChain
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Custom Intelligence: Building AI that matches your business DNA
aws.amazon.com·11h
⚙️Model Fine-tuning
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ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding
paperium.net·2h·
Discuss: DEV
⚙️Model Fine-tuning
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Context-Bench: Benchmarking LLMs on Agentic Context Engineering
letta.com·8h·
Discuss: Hacker News
⛓️LangChain
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Project-MONAI/MONAI
github.com·1d
🗄️Vector Databases
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The Machine Learning Projects Employers Want to See
towardsdatascience.com·13h
🗄️Vector Databases
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How to Build Your First MCP Server using FastMCP
hackernoon.com·21h
⛓️LangChain
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How I Built an MCP-Powered AI Git Commit Generator (And Why My Repository Loves Me Now) 🚀🤖
dev.to·18m·
Discuss: DEV
⛓️LangChain
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Watch the recordings from my Python + AI series
blog.pamelafox.org·13h·
🤖AI
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.com·21h·
Discuss: DEV
⚙️Model Fine-tuning
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How to design effective agent workflows?
boliv.substack.com·7h·
Discuss: Substack
⛓️LangChain
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Your AI Models Aren’t Slow, but Your Data Pipeline Might Be
thenewstack.io·9h
⛓️LangChain
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Exploring PKM concepts
nhlism.bearblog.dev·6h
⛓️LangChain
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