neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Developer toolsPython · C++GitHub @NVIDIA-AI-BlueprintsOnlineOwner unconfirmed
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NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
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NVIDIA AI Blueprint: Video Search and Summarization (VSS)
Build GPU-accelerated video AI agents that search, analyze, summarize, and reason over live or recorded video using natural language.
NVIDIA AI Blueprint for Video Search and Summarization (VSS) combines vision-language models, RAG, and NVIDIA NIM microservices to deliver real-time video analytics, visual Q&A, alert verification, clip retrieval, and long-video summarization.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
NVIDIA AI Blueprint: Video Search and Summarization (VSS)
Build GPU-accelerated video AI agents that search, analyze, summarize, and reason over live or recorded video using natural language.
NVIDIA AI Blueprint for Video Search and Summarization (VSS) combines vision-language models, RAG, and NVIDIA NIM microservices to deliver real-time video analytics, visual Q&A, alert verification, clip retrieval, and long-video summarization.Read the full README ↗