video-search-and-summarization
@NVIDIA-AI-Blueprints
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.
Pijlers en weging
Waarom deze score
- Laatste commit 0 dagen geleden
- Uitgebracht in de afgelopen 12 maanden
- Top 50% naar sterren in AI & ML › Computervisie
Feiten
- Licentie
- NOASSERTION (Licentie onbekend)
- Taal
- Python
- GitHub-sterren
- 1.878
- Laatste commit
- 2026-09-27 (1 dag geleden)
- Laatste release
- 2026-07-23T12:22:36Z
- OpenSSF Scorecard
- Nog niet gemeten
- Zelf hosten
- Niet vastgesteld
- Maintainer-locatie
- Onbekend
- Bron
- github-crawl,github-search
Alternatieven in Grote taalmodellen
Build, test and deploy LLM applications.
LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents.
Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.
The web data API to search, scrape, and interact at scale. 🔥