# A visual mental model of how weights and tokens connect

> Source: <https://github.com/behnia137/ai-for-beginners-visual>
> Published: 2026-05-31 00:31:03+00:00

**Simple visuals + everyday analogies that explain AI concepts to everyone — whether you write code or have never opened a terminal.**

*If this helps you finally "get" AI — drop a ⭐. It helps more people find it.*

AI is everywhere, but most explanations are either **too technical** (walls of math) or **too fluffy** (no real understanding).

This repo sits in the middle. Every concept gets:

- 🧒
**An "Explain Like I'm 5" analogy**— the one-liner you'll actually remember - 🖼️
**A simple diagram**— see the idea, don't just read it - 🔧
**"How it actually works"**— for when you're ready to go deeper - 🌍
**A real-world example**— where you've already seen it in action

No PhD required. No prior coding needed. Just curiosity.

| # | Concept | One-liner |
|---|---|---|
| 1 |
|

[🔤 Token](/behnia137/ai-for-beginners-visual/blob/main/concepts/token.md)[📍 Embedding](/behnia137/ai-for-beginners-visual/blob/main/concepts/embedding.md)[🕸️ Neural Network](/behnia137/ai-for-beginners-visual/blob/main/concepts/neural-network.md)[🏋️ Training vs Inference](/behnia137/ai-for-beginners-visual/blob/main/concepts/training-vs-inference.md)[💬 Prompt](/behnia137/ai-for-beginners-visual/blob/main/concepts/prompt.md)[🪟 Context Window](/behnia137/ai-for-beginners-visual/blob/main/concepts/context-window.md)[🎯 Fine-tuning](/behnia137/ai-for-beginners-visual/blob/main/concepts/fine-tuning.md)[📖 RAG (Retrieval-Augmented Generation)](/behnia137/ai-for-beginners-visual/blob/main/concepts/rag.md)[🌀 Hallucination](/behnia137/ai-for-beginners-visual/blob/main/concepts/hallucination.md)| # | Concept | One-liner |
|---|---|---|
| 11 |
|

[👀 Attention](/behnia137/ai-for-beginners-visual/blob/main/concepts/attention.md)[🌡️ Temperature](/behnia137/ai-for-beginners-visual/blob/main/concepts/temperature.md)[🔗 Chain of Thought](/behnia137/ai-for-beginners-visual/blob/main/concepts/chain-of-thought.md)| # | Concept | One-liner |
|---|---|---|
| 15 |
|

[⚡ GPU](/behnia137/ai-for-beginners-visual/blob/main/concepts/gpu.md)[📏 Overfitting](/behnia137/ai-for-beginners-visual/blob/main/concepts/overfitting.md)[🎛️ Parameters / Weights](/behnia137/ai-for-beginners-visual/blob/main/concepts/parameters-weights.md)[🏛️ Foundation Model](/behnia137/ai-for-beginners-visual/blob/main/concepts/foundation-model.md)[🗜️ Quantization](/behnia137/ai-for-beginners-visual/blob/main/concepts/quantization.md)| # | Concept | One-liner |
|---|---|---|
| 21 |
|

*does*things, not just chats.[🗄️ Vector Database](/behnia137/ai-for-beginners-visual/blob/main/concepts/vector-database.md)[🎨 Diffusion Model](/behnia137/ai-for-beginners-visual/blob/main/concepts/diffusion-model.md)[🎭 GAN](/behnia137/ai-for-beginners-visual/blob/main/concepts/gan.md)[🪪 System Prompt](/behnia137/ai-for-beginners-visual/blob/main/concepts/system-prompt.md)[🌈 Multimodal](/behnia137/ai-for-beginners-visual/blob/main/concepts/multimodal.md)[🛠️ Tool Calling](/behnia137/ai-for-beginners-visual/blob/main/concepts/tool-calling.md)| # | Concept | One-liner |
|---|---|---|
| 28 |
|

[📅 Knowledge Cutoff](/behnia137/ai-for-beginners-visual/blob/main/concepts/knowledge-cutoff.md)[🕵️ Prompt Injection](/behnia137/ai-for-beginners-visual/blob/main/concepts/prompt-injection.md)[🧭 Alignment & Guardrails](/behnia137/ai-for-beginners-visual/blob/main/concepts/alignment.md)*not*to do.[🌅 AGI](/behnia137/ai-for-beginners-visual/blob/main/concepts/agi.md)

``` php
flowchart LR
    A[💬 Your Prompt] --> B[🔤 Split into Tokens]
    B --> C[📍 Turned into Embeddings]
    C --> D[🕸️ Neural Network<br/>the LLM]
    D --> E[🪟 Limited by<br/>Context Window]
    D --> F[📝 Generates Answer]
    F -.->|sometimes| G[🌀 Hallucination]
    H[(📚 Your Documents)] -->|RAG| D
    I[🎯 Fine-tuning] -.->|specializes| D
    style A fill:#dbeafe,stroke:#3b82f6
    style D fill:#fef3c7,stroke:#f59e0b
    style F fill:#dcfce7,stroke:#22c55e
    style G fill:#fee2e2,stroke:#ef4444
```

Read it in orderif you're brand new — each concept builds on the last.Jump aroundif you already know the basics.

- Pick a concept from the
[table above](#-the-concepts). - Read the analogy. Look at the diagram.
- Curious? Read "How it actually works."
- Found it useful?
**Star the repo**⭐ and share it.

Know a concept we're missing? Have a better analogy? **We'd love your help.**

See [CONTRIBUTING.md](/behnia137/ai-for-beginners-visual/blob/main/CONTRIBUTING.md) for the simple template — adding a concept takes about 10 minutes.

Good first additions: *Reinforcement Learning, Mixture of Experts (MoE), MCP, Deepfake, Backpropagation, Loss Function, Zero-shot vs Few-shot, Speech-to-Text / Text-to-Speech, Open vs Closed Models, AI Ethics.*

[MIT](/behnia137/ai-for-beginners-visual/blob/main/LICENSE) — free to use, share, remix, and teach with. Attribution appreciated.

**Made for curious humans.** 🧠

If this made AI click for you, the best thank-you is a ⭐.