🚀 MLOps - hello · Scour

avinashmnth2507-dev/mlops-house-price-predictor: Production-grade MLOps pipeline for house price prediction 🦙Ollama

github.com·5h·DEV

How ML Systems Actually Work: From Data to Deployment 📱Edge AI

newsletter.systemdesign.one

·10h

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT 🤖TVM

Building an LLM-Powered Log Triage Pipeline with Python and DeepSeek-R1 🦙Ollama

dev.to·2d·DEV

How to Eliminate Pipeline Friction in AI Model Serving 🌀Naiad

developer.nvidia.com·1h

Data Annotation Infrastructure: Building a Scalable Pipeline with CVAT and B2 Object Storage 🌀Naiad

backblaze.com·4d

At Petabyte Scale, ML Stops Being About Models 🔗Intrusive Containers

hackernoon.com·5d

On-Device Machine Learning 🦙Ollama

dsebastien.net·6d

Zero Chaos: Scaling Detection Engineering at the Speed of Software, with Detection As Code 🏗️Cranelift

vLLM V0 to V1: Correctness Before Corrections in RL 📊Profile-Guided Optimization

huggingface.co·6d

Using MemAlign to Improve Evaluation of Traditional Machine Learning in Genie Code 🔍KLEE

databricks.com·3d

Turning Observability into a Search Space 📊Datalog

dev.to·2d·DEV

ComplexMCP: Evaluation of LLM Agents in Dynamic, Interdependent, and Large-Scale Tool Sandbox 💬Prompt Engineering

OpenModels: Explore LLM Models and Inference Providers 🦙Ollama

dev.to·1d·DEV

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling ⚡Incremental Computation

DataMaster: Towards Autonomous Data Engineering for Machine Learning 🧮Vector Databases

Dooly: Configuration-Agnostic, Redundancy-Aware Profiling for LLM Inference Simulation 📱Edge AI

Why Retrying Fails: Context Contamination in LLM Agent Pipelines 💬Prompt Engineering

Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers 🤖TVM

AI/ML Research Digest 💬Prompt Engineering

dev.to·6d·DEV

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