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New project makes Wikipedia data more accessible to AI
The project enables AI systems to access nearly 120 million Wikipedia entries through vector-based search and supports the Model Context Protocol for improved natural language queries.
Summary by TechCrunch
7 Articles
7 Articles
A new project facilitates the exploitation of Wikipedia content by IA chatbots to answer users' questions. In April, the encyclopedia also launched a data set to facilitate the use of its articles to train large language models.
Wikidata Embedding Project Makes Wikipedia Data AI-Friendly
Wikimedia Deutschland has launched the Wikidata Embedding Project, designed to make Wikipedia’s massive knowledge base more accessible to artificial intelligence systems through semantic search and modern data protocols. Wikipedia has long been a critical source of information, but its structured data access relied heavily on keyword searches and SPARQL queries, limiting ease of use. With […] The post Wikidata Embedding Project Makes Wikipedia D…
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Leaning Left1Leaning Right0Center1Last UpdatedBias Distribution50% Left, 50% Center
Bias Distribution
- 50% of the sources lean Left, 50% of the sources are Center
50% Center
L 50%
C 50%
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