# AIPedia — AI-Powered Interactive Glossary & Learning Platform

> AIPedia (https://aipedia.burmesestack.com) is a comprehensive, bilingual (English & Burmese) AI/ML knowledge engine featuring 93 standardized terms, 15 interactive simulations, a 54-node knowledge graph, and AI tutor support.

## Overview & Core Concepts

- [Terms Library](https://aipedia.burmesestack.com/library): 93 Artificial Intelligence terms across 7 topics (Fundamentals, Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, MLOps) categorized by 3 levels (Beginner, Intermediate, Advanced).
- [Interactive AI Knowledge Graph](https://aipedia.burmesestack.com/graph): Force-directed node-link network visualizing prerequisites, next-steps, and related concepts across all terms.
- [Learning Path](https://aipedia.burmesestack.com/learn): Structured curriculum ordering terms from #1 Artificial Intelligence to #93 A/B Testing.
- [15 Interactive Simulations](https://aipedia.burmesestack.com/simulations): Hands-on visualizers for Backpropagation, K-Means, Logistic Regression, GANs, Diffusion Models, Reinforcement Learning, RAG Pipelines, Tokenization, and more.

## Interactive Simulations

- [Backpropagation Visualizer](https://aipedia.burmesestack.com/simulations/backpropagation): Forward activation, MSE loss calculation, and backward gradient flow (dL/dw).
- [K-Means Clustering](https://aipedia.burmesestack.com/simulations/kmeans-clustering): 2D spatial clustering with dynamic centroid updates and Voronoi regions.
- [Logistic Regression](https://aipedia.burmesestack.com/simulations/logistic-regression): Linear decision boundary fitting, Sigmoid curve σ(z), and Log Loss.
- [GAN Generator & Discriminator](https://aipedia.burmesestack.com/simulations/gan-generator): Adversarial minimax game G(z) vs D(x) fake image evaluation.
- [Diffusion Model Denoising](https://aipedia.burmesestack.com/simulations/diffusion-model): Reverse process U-Net noise estimation t=100 → 0 with CFG guidance scale.
- [Reinforcement Learning Q-Learning](https://aipedia.burmesestack.com/simulations/reinforcement-learning): Grid World agent policy training using Bellman Q-table update equations.
- [RAG Vector Pipeline](https://aipedia.burmesestack.com/simulations/rag-pipeline): Vector embeddings, Cosine Similarity search, Top-K retrieval, and Prompt Augmentation.
- [LLM BPE Tokenizer](https://aipedia.burmesestack.com/simulations/tokenizer): Byte-Pair Encoding subword tokenization, Token IDs, and UTF-8 byte arrays.

## Comprehensive Full Text

- [llms-full.txt](https://aipedia.burmesestack.com/llms-full.txt): Complete text index of all 93 AI term definitions, EL5 explanations, formulas, and Burmese translations for LLM ingestion.