Even GenAI uses Wikipedia as a source
Ryan and Philippe Saade discuss the Wikidata Embedding Project, focusing on vectorizing 30 million Wikidata entries for enhanced semantic search capabilities.
MAIN POINTS
- Philippe Saade leads the AI project at Wikimedia Deutschland.
- The project involves vectorizing 30 million out of 119 million Wikidata entries.
- The aim is to improve semantic search through vectorization.
- This initiative is part of the broader Wikidata Embedding Project.
TAKEAWAYS
- Vectorization enhances the searchability and usability of vast data sets.
- Semantic search is a key focus for improving data accessibility.
- The project demonstrates the potential of AI in managing large-scale data.
- Collaboration between experts is crucial for advancing AI projects.