Guide to AI — The AI Knowledge Base
Guide to AI (ai-know.org) is a free, bilingual (English and Hebrew) knowledge base about artificial intelligence: explained concepts, curated tools, a daily news digest and a browser-side token calculator. It is a static site — no account, no tracking, no paywall.
The guide is organised into 7 concept sections (52 explained terms) and 7 tool sections (65 curated tools and resources), plus a daily AI news digest and a token calculator. Every page is available in English and Hebrew; the language is chosen in the interface and remembered locally.
Concepts explained
- Fundamentals of Artificial Intelligence — Artificial Intelligence (AI), Machine Learning, Neural Networks, Deep Learning, Unsupervised Learning
- Advanced Concepts — Weights and Bias, Generative AI, AI Ethics, Generative Adversarial Networks (GANs), Gradient Descent
- Advanced Techniques — Transfer Learning, Few-shot Learning, RAG (Retrieval-Augmented Generation), Prompt Engineering, Fine-tuning
- Evaluation Metrics — Important Terms in Data Science and Machine Learning, Log Loss, Perplexity, Mean Absolute Error (MAE), Root Mean…
- Tools and Libraries — TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers
- Key Applications of Artificial Intelligence — AI in Healthcare, AI in Finance, AI in Transportation, Natural Language Processing, Computer Vision
- Future Trends in Artificial Intelligence — Artificial General Intelligence (AGI), AI and Quantum Computing, AI and Human Interaction, AI for Sustainability and…
Tools and resources
- Language Tools — ChatGPT, Claude, Gemini, Storm Genie, FinChat
- AI Coding Agents — Claude Code, Cursor, Windsurf, GitHub Copilot, OpenAI Codex
- Open-Source Libraries/Tools — TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers
- Graphics Tools — Krea, Luma, Pika ai, Runway(Gen-3), LivePortrait
- Articles — LLM System Architecture, Open Source AI Deep Dive, Generative AI Commons
- Educational Resources — GenAI Agents, Understanding & Building LLM Applications, Prompt Engineering with W&B, Amazon Bedrock Workshop, LLM…
- Productivity Tools — NotebookLM, Gamma, presentation AI tool, Otter.ai, Grammarly, Jasper
Also on this site
- Hot News — AI developments, rebuilt daily from publisher feeds
- Token Calculator — count LLM tokens for any text, computed in your browser
- About — who runs this guide and how the content is made
- Contact — how to reach the author or report an error
Frequently asked questions
What is Guide to AI (ai-know.org)?
A free, bilingual (English and Hebrew) knowledge base about artificial intelligence. It covers AI concepts with short and full explanations, curated tools by category, a daily news digest, and a token calculator that runs in the browser.
Is it free, and does it require an account?
Yes, everything is free and there is no account, no login and no paywall. The site is fully static, stores nothing server-side and sets no tracking cookies.
Who writes and maintains it?
Leon Melamud, an AI and cloud architecture practitioner. The content lives as YAML and JSON in the public repository https://github.com/LeonMelamud/AI-Knowledge, so every change is visible in its git history.
How can an AI agent or LLM consume this site?
Start at /llms.txt for the index, or /llms-full.txt for the whole knowledge base as one markdown document. Every page has a markdown twin at the same path with a .md suffix, /schemamap.xml points to schema.org JSON-LD feeds, and /.well-known/ai-catalog.json lists every machine-readable entry point.
May the content be used to train models or answer questions?
Yes. Crawling and quoting are allowed for the major AI crawlers (see /robots.txt), attribution to ai-know.org is appreciated, and the underlying source data is public in the repository.
How current is the AI news section?
The news digest is rebuilt automatically every day from publisher RSS feeds; the raw snapshot an agent can read directly is at /data/rss.json.
Sections: Fundamentals of Artificial Intelligence, Advanced Concepts, Advanced Techniques, Evaluation Metrics, Tools and Libraries, Key Applications of Artificial Intelligence, Future Trends in Artificial Intelligence, Language Tools, AI Coding Agents, Open-Source Libraries/Tools, Graphics Tools, Articles, Educational Resources, Productivity Tools.