AI Wiki
Knowledge Management
A community-driven encyclopedia covering artificial intelligence concepts, benchmarks, companies, and research.
At a Glance
Pricing
Free tier available
Full access to all AI Wiki articles and content
Engagement
Available On
Web
About AI Wiki
AI Wiki is an open, community-edited encyclopedia dedicated to artificial intelligence, machine learning, and deep learning. Built on the MediaWiki platform, it provides well-sourced, in-depth articles covering a broad range of AI topics, from foundational concepts like neural networks and reinforcement learning to modern benchmarks, company profiles, and emerging research directions.
- AI Concept Articles - Detailed explanations of machine learning fundamentals including loss functions, tensor operations, feature engineering, fairness metrics, and optimization techniques
- Benchmark Coverage - Documentation of AI evaluation benchmarks such as GPQA, AIME 2025, and other standardized tests used to measure model performance
- Company and Organization Profiles - Articles on AI companies and research labs including ByteDance Seed, Moonshot AI, Z.ai, and other organizations shaping the AI landscape
- Model and Tool Documentation - Coverage of AI models, frameworks, and developer tools like GitHub Copilot, OpenAI Gym, and various large language models
- Research Accessibility - Technical concepts explained with both rigorous detail and beginner-friendly analogies, making AI knowledge accessible to students, researchers, and practitioners
- Community Contributions - Wiki-style collaborative editing allows the AI community to keep content current as the field rapidly evolves
- Cross-Referenced Knowledge - Articles include citations to academic papers, official documentation, and primary sources for verification and further reading
Community Discussions
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Pricing
FREE
Free Plan Available
Full access to all AI Wiki articles and content
- Unlimited article access
- Search across all topics
- Community editing and contributions
- Citation and reference links
Capabilities
Key Features
- In-depth articles on AI and machine learning concepts
- AI benchmark documentation and model performance tracking
- Company and research lab profiles
- AI model and framework coverage
- Community-edited wiki with collaborative contributions
- Academic citations and primary source references
- Beginner-friendly explanations alongside technical detail
- Coverage of AI fairness, ethics, and safety topics
- Regularly updated with new AI developments
- Search functionality across all articles
