PromptingEasy AI Wiki

AI concepts explained from beginner to production level

Learn how LLMs, prompts, RAG, agents and production AI systems work — with practical examples, simple diagrams and technical depth only where it helps.

Choose your level

This wiki is written like a learning path, not a glossary dump. Start with the level that matches your current questions and move deeper when you need implementation details.

Promptyour taskLLMpredicts tokensAnswerdraft
A language model does not look up one fixed answer. It predicts a useful continuation from your input and its training patterns.
Level 1

LLM Beginner

Start here if AI terms still feel fuzzy. Simple explanations, everyday examples and low-jargon mental models.

Open Level 1 →Level 2

LLM Intermediate

Practical prompting techniques for people who already use AI and want more reliable workflows.

Open Level 2 →Level 3

LLM Advanced

Technical foundations for builders: Transformer, embeddings, RAG architecture, agents and evaluation.

Open Level 3 →Level 4

LLM Expert

Production and research-level topics: caching, routing, quantization, preference optimization and safety testing.

Open Level 4 →

Editorial approach

Each level combines educational writing, prompt engineering practice, ML/NLP review, technical writing, SEO structure and lightweight data visualization. The goal is simple: useful explanations that do not sound like generic AI copy.

Practical examples

Every article uses realistic SaaS, support, marketing, research or product workflows.

Original mini-tests

Each page includes a small test idea so readers can validate prompts in their own work.

Static-first design

No new JavaScript, no external images and stable SVG containers to protect PageSpeed and CLS.