Wikidata Knowledge Graph to Enable Equitable and Validated Generative AI
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore how open-access knowledge graphs like Wikidata can enhance generative AI applications in this 31-minute conference talk by Jonathan Fraine and Lydia Pintscher from Wikimedia Deutschland. Discover the potential of Wikidata's crowd-sourced, structured data items in over 300 languages to provide authenticated and equitable world knowledge for LLM and ML applications. Learn about practical integration techniques for leveraging Wikidata's open-source knowledge graph to augment and validate generative AI inference. Gain insights into semantic search capabilities and the use of vectorized Wikidata search API to enhance AI applications with diverse, crowd-sourced data, offering a more representative spectrum of human knowledge compared to standard internet corpora.
Syllabus
Wikidata Knowledge Graph to Enable Equitable and Validated Ge... - Jonathan Fraine & Lydia Pintscher
Taught by
Linux Foundation
Tags
Related Courses
U&P AI - Natural Language Processing (NLP) with PythonUdemy What's New in Cognitive Search and Cool Frameworks with PyTorch - Episode 5
Microsoft via YouTube Stress Testing Qdrant - Semantic Search with 90,000 Vectors - Lightning Fast Search Microservice
David Shapiro ~ AI via YouTube Semantic Search for AI - Testing Out Qdrant Neural Search
David Shapiro ~ AI via YouTube Spotify's Podcast Search Explained
James Briggs via YouTube