Wikipedia Courses and Certifications

Wikipedia in the Age of AI and Bots

Explore Wikipedia's editorial processes, AI tooling, automated traffic patterns, and risk mitigation strategies in the age of artificial intelligence and bots.

• YouTube
• 1 hour
• On-Demand
• Free Video

media.ccc.de

AI-Generated Content in Wikipedia - A Tale of Caution

Discover how a Wikipedia maintenance project accidentally became a ChatGPT detector, revealing AI-generated content through ISBN checksum failures and editor motivations.

• YouTube
• 38 minutes
• On-Demand
• Free Video

USENIX

From Exceptional Maintenance to Automated Routine Operation: Datacenter Switchover for Wikipedia

Discover how Wikipedia automated datacenter switchovers, reducing downtime from 40 minutes to 2 minutes. Learn about open-source tools and architectural approaches for efficient infrastructure management.

• YouTube
• 37 minutes
• On-Demand
• Free Video

TED

How a Ragtag Band Created Wikipedia

Discover the origins of Wikipedia, its collaborative nature, and the principles that guide this revolutionary online encyclopedia in this insightful talk by its founder.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk

Yannic Kilcher

Can Wikipedia Help Offline Reinforcement Learning - Author Interview

Exploring the potential of pre-trained language models in offline reinforcement learning, discussing experimental results, model performance, and future directions for leveraging sequence modeling techniques in RL tasks.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Trelis Research

Fine-tuning Llama 3 on Wikipedia Datasets for Low-Resource Languages

Learn to fine-tune Llama 3 on Wikipedia datasets for low-resource languages. Master dataset creation, LoRA setup, blending techniques, and parameter optimization for improved language model performance.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Kunal Kushwaha

Building a Scalable AI Chatbot with Wikipedia Data - Semantic Search and RAG

Learn to create an AI chatbot using Wikipedia video game data, implementing semantic search and RAG with SingleStore, optimizing with vector indexes, and integrating GPT models for an interactive experience.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Learn From Top Rated Freelancer

SEO Power - How Wikipedia, Reddit and Quora Rank Fast

Unlock the SEO secrets of Wikipedia, Reddit & Quora to dominate Google rankings and drive high-traffic results using proven authority site strategies.

• YouTube
• 18 minutes
• On-Demand
• Free Video

React Conferences by GitNation

Semantic Search through the Complete Wikipedia with Weaviate’s GraphQL API

Explore semantic search capabilities using Weaviate's GraphQL API to navigate the entire Wikipedia dataset, enhancing information retrieval and knowledge discovery.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk

IEEE

Are Anonymity-Seekers Just like Everybody Else? An Analysis of Contributions to Wikipedia from Tor

Análisis de contribuciones anónimas a Wikipedia a través de Tor, comparando calidad y patrones con otros tipos de usuarios para evaluar el impacto de bloquear proxies de privacidad.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk

Non-English Editions of Wikipedia Have a Misinformation Problem

Explore the challenges of misinformation in non-English Wikipedia editions and strategies to combat this growing issue in global information sharing.

• YouTube
• 22 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Neo4J as Vector Store with Langchain, OpenAI, and Wikipedia

Explore Neo4J as a vector store using Langchain, OpenAI embeddings, and Wikipedia data for advanced data science and machine learning applications.

• YouTube
• 32 minutes
• On-Demand
• Free Video

TED

What Wikipedia Teaches Us About Balancing Truth and Beliefs

Katherine Maher explores Wikipedia's success in maintaining public trust through transparency, adaptability, and community-building, offering insights on balancing truth and beliefs in the digital age.

• YouTube
• 15 minutes
• On-Demand
• Conference Talk

Yannic Kilcher

Can Wikipedia Help Offline Reinforcement Learning? - Paper Explained

Exploring how pre-training on Wikipedia improves offline reinforcement learning models, enhancing performance, reducing parameters, and revealing connections between language and RL domains.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Traversy Media

Vanilla JavaScript Search App - Wikipedia API

Build a search application using HTML5, Sass, JavaScript, and the Wikipedia API, covering structure, styling, functionality, debugging, and accessibility considerations.

• YouTube
• 2 hours 13 minutes
• On-Demand
• Free Video