🔄 MLOps

Model Deployment, CI/CD, Production ML, Monitoring

Beyond the Hype: Essential Skills and Strategies for Aspiring Machine Learning Engineers
dev.to·8h·
Discuss: DEV
📱Edge AI
Open Source Project: Evaluate your DevOps models in 2 Steps
reddit.com·2h·
Discuss: r/devops
⚙️LLVM
Automate advanced agentic RAG pipeline with Amazon SageMaker AI
aws.amazon.com·7h
💬NLP
The Data Backbone of LLM Systems
infoq.com·1d·
Discuss: Lobsters
⚙️LLVM
Deploy a lightweight AI model with AI Inference Server containerization
developers.redhat.com·17h
📱Edge AI
Why Most LLM Chatbots Never Make It to Production
humansignal.com·11h·
Discuss: Hacker News
📱Edge AI
Failed Machine Learning
github.com·6h·
Discuss: Hacker News
📱Edge AI
Choosing Rust for LLM-generated code
runmat.org·7h·
Discuss: Hacker News
🔧Embedded Rust
Mastering MLflow: Managing the Full ML Lifecycle
dev.to·3d·
Discuss: DEV
📱Edge AI
MetaLLMix : An XAI Aided LLM-Meta-learning Based Approach for Hyper-parameters Optimization
arxiv.org·20h
📱Edge AI
Tips for Building ML Models that Solve Real Problems
analyticsvidhya.com·1d
📱Edge AI
Anomalies to Insights: CloudWatch & SageMaker for Smarter Observability
dev.to·2d·
Discuss: DEV
👁️Observability
Beyond the Hype: Building Production-Ready AI for Helplines with DistilBERT Fine-Tuning
huggingface.co·3d·
Discuss: DEV
💬NLP
How to Analyze and Optimize Your LLMs in 3 Steps
towardsdatascience.com·1d
⚙️LLVM
Days 29-30: Mission Accomplished - Building an Enterprise Platform in 80 Hours
dev.to·5h·
Discuss: DEV
👁️Observability
A layered architecture for log analysis in complex IT systems
arxiv.org·1d
👁️Observability
Why the best LLMs are not enough for the AI SOC
intezer.com·9h
📱Edge AI
Smarter Tuning: LLMs Automate Hyperparameter Magic
dev.to·16h·
Discuss: DEV
⚙️LLVM
K2-Think: A Parameter-Efficient Reasoning System
arxiviq.substack.com·9h·
Discuss: Substack
📱Edge AI
Building multi-agent tools for engineering
newstoretech.substack.com·12h·
Discuss: Substack
📱Edge AI