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When the Sensor Starts Thinking: SnortML, Agentic AI, and the Evolving Architecture of Intrusion Detection
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When the Sensor Starts Thinking: SnortML, Agentic AI, and the Evolving Architecture of Intrusion Detection

stackoverflow.blog·Samaresh Kumar Singh·20 days ago
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#h3#h2#snortml#snort#agentic#detection

Every IDS deployment has a gap. Anyone who has run one long enough eventually finds it, usually at the worst possible time. The gap sits between what you wrote rules for and what the attacker chose to do instead.…

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Building and Training a Kimi-K2 Model Using DeepSeek-V3 Components - PyImageSearch
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Building and Training a Kimi-K2 Model Using DeepSeek-V3 Components - PyImageSearch

PyImageSearch·Puneet Mangla·21 days ago
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#toc#h3#h2#genesis#download#self

Learn how to train Kimi-K2 using DeepSeek-V3, Mixture-of-Experts, and MuonClip for efficient, scalable open-source LLM development.

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How we replaced NGINX-Ingress at Stack Overflow
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How we replaced NGINX-Ingress at Stack Overflow

stackoverflow.blog·Michael Frank·25 days ago
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#h3#h2#gateway#annotations#route#gateway_test

Back in November of last year when the announcement was made that Ingress-NGINX was being retired, we, like many others, were caught a bit off guard. Ingress-NGINX had been handling our traffic routing since moving to Kubernetes.…

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Pytest Tutorial: MLOps Testing, Fixtures, and Locust Load Testing - PyImageSearch
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Pytest Tutorial: MLOps Testing, Fixtures, and Locust Load Testing - PyImageSearch

PyImageSearch·Vikram Singh·about 1 month ago
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#toc#h3#h2#genesis#download#tests

Learn how to test, validate, and performance-check ML systems using unit tests, integration tests, load testing, and code quality tools.

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FastAPI for MLOps: Python Project Structure and API Best Practices - PyImageSearch
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FastAPI for MLOps: Python Project Structure and API Best Practices - PyImageSearch

PyImageSearch·Vikram Singh·about 1 month ago
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#toc#h3#h2#genesis#download#model

Learn how to structure ML projects, manage configs, build clean APIs, and apply real software engineering patterns to production-grade MLOps systems.

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Agentic AI Vision System: Object Segmentation with SAM 3 and Qwen - PyImageSearch
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Agentic AI Vision System: Object Segmentation with SAM 3 and Qwen - PyImageSearch

PyImageSearch·Piyush Thakur·about 1 month ago
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#toc#h2#h3#genesis#download#segmentation

Build an agentic AI vision system using SAM 3 and Qwen with iterative segmentation, reasoning loops, and self-correcting outputs.

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DeepSeek-V3 Model: Theory, Config, and Rotary Positional Embeddings - PyImageSearch
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DeepSeek-V3 Model: Theory, Config, and Rotary Positional Embeddings - PyImageSearch

PyImageSearch·Puneet Mangla·about 1 month ago
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#toc#h3#genesis#h2#download#model

Build DeepSeek‑V3 from scratch: explore MLA, MoE, RoPE, and MTP innovations with hands‑on training and implementation insights.

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SAM 3 for Video: Concept-Aware Segmentation and Object Tracking - PyImageSearch
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SAM 3 for Video: Concept-Aware Segmentation and Object Tracking - PyImageSearch

PyImageSearch·Piyush Thakur·about 1 month ago
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#toc#h3#h2#genesis#download#frame

Build SAM3 video segmentation and tracking pipelines with text prompts, live webcam streams, and interactive multi-object tracking in Gradio.

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Vector Search Using Ollama for Retrieval-Augmented Generation (RAG) - PyImageSearch
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Vector Search Using Ollama for Retrieval-Augmented Generation (RAG) - PyImageSearch

PyImageSearch·Vikram Singh·about 1 month ago
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#toc#h3#h2#genesis#download#ollama

Learn how to connect vector search with Ollama to build a Retrieval-Augmented Generation (RAG) pipeline that delivers grounded, factual LLM responses.

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