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README.md
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# AI Cheat Sheet
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A pink-themed static web app — your quick reference for artificial intelligence terminology, techniques, and real-world applications.
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## Pages
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| Page | Content |
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| ------------------- | ------------------------------------------------------------------------------------ |
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| **Home** | Overview and quick start |
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| **Terminology** | 20+ key terms from ML, NLP, and model concepts, plus common acronyms |
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| **Techniques** | Training, alignment, and optimization methods (RLHF, RAG, LoRA, quantization) |
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| **Use Cases** | AI applications across 12 industries (healthcare, finance, coding, creative work...) |
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| **Model Types** | Architecture families — LLMs, CNNs, diffusion, GANs, MoE + comparison table |
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| **Prompt Guide** | 7 prompt patterns with templates and best practices |
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| **Math & Concepts** | Core ideas (attention, loss, sampling) explained simply, plus key formulas |
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## Run Locally
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Serve the files with any static file server:
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```bash
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python3 -m http.server 8080
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```
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Then open `http://localhost:8080`.
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## Podman
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Build and run with Podman:
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```bash
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podman build -t alicia-ai-cheatsheet .
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podman run -d --name alicai-ai-cheatsheet -p 9090:80 alicia-ai-cheatsheet
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```
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Then open `http://localhost:9090`.
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Stop and remove:
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```bash
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podman stop alicai-ai-cheatsheet
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podman rm alicai-ai-cheatsheet
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```
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## Structure
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```
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index.html Landing page
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css/style.css All styles (pink theme)
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pages/
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terminology.html
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techniques.html
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use-cases.html
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model-types.html
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prompts.html
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math.html
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Dockerfile Podman container image
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```
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## License
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MIT
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