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3 articles on MLOps, LLMs, and AI Engineering
Mar 2025MLOps
Building a Production Log Anomaly Detection Pipeline
How I combined Drain3, BGE-M3 embeddings, Isolation Forest, and a PyTorch Autoencoder to detect anomalies in Kubernetes logs — without any labeled data.
Read more →Feb 2025LLMs
Self-Hosting Qwen3 72B on 4x L40 GPUs with vLLM
A practical guide to deploying large open-weight models on-premise using vLLM, tensor parallelism, and Kubernetes.
Read more →Jan 2025Kubernetes
OpenSearch for Log Intelligence: Beyond Basic Queries
Deep dive into querying OpenSearch at scale — namespace filtering, time-range constraints, and surfacing anomalies in real-time.
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