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We present an architecture of embedding models, vector databases, LLMs, and narrow ML for tracking global news narratives across a variety of countries/languages/news sources. As an example, we explore the real-time application of this architecture for tracking the news narrative surrounding the death of Russian opposition leader Alexei Navalny coming from Russian, French, and English sources.
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
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ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
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Manulife - Insurer Transformation Award 2024
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Comparative Development Methodologies
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Lesson #10: .htaccess
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End of lesson
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