AI for Beginners — All Labs
All Neural Ninjas simulation labs, grouped by topic. Click any card to open that lab.
‣ Beginner AI Series
AI for BeginnersMachine Learning Lab
Teach an AI to sort real mangoes from fakes — no rules, just examples it learns from.
AI for BeginnersDeep Learning Lab
Watch a single fruit get scanned by three teams of robot workers, one layer at a time.
AI for BeginnersSupervised Learning Lab
Train a robot student with picture-and-answer flashcards, then test what it actually learned.
AI for BeginnersUnsupervised Learning Lab
Drop an AI into a pile of nameless alien fruit and watch it find its own groups.
AI for BeginnersReinforcement Learning Lab
A robot puppy learns to solve a maze from nothing but points and punishment.
AI for BeginnersBias in AI Lab
An AI judge picks singers fairly — until you see exactly where its hidden bias comes from.
AI for BeginnersNLP Lab
See exactly how a computer turns your sentences into numbers to sort the mail.
‣ Prompt Engineering
‣ LLM & Transformer Concepts
AI for BeginnersAttention Mechanism Lab
A theatre-stage and solar-system metaphor for how attention connects tokens.
AI for BeginnersBERT Lab
BERT vs GPT — bidirectional understanding vs left-to-right generation.
AI for BeginnersLLM Fine-Tuning Lab
Watch a base model get fine-tuned live, knob by knob, on real training data.
AI for BeginnersGPT Lab — Sandbox
A live dashboard for exploring GPT architecture — prompts, sampling, attention.
AI for BeginnersVector Search (HNSW) Lab
A 3-tier highway metaphor for how HNSW makes nearest-neighbor search fast.
AI for BeginnersGPT Lab
The full GPT architecture as an assembly line, from tokens to sampled output.
AI for BeginnersTokenization Lab
See exactly how LLMs turn text into numbers before any "understanding" happens.
AI for BeginnersVAE Lab — Latent Space
Encode, mutate, and decode through a variational autoencoder's latent space.
AI for BeginnersNearest-Neighbor Search Lab
Play as the search algorithm — brute force vs graph-based search, head to head.
AI for BeginnersKnowledge Distillation Lab
A big teacher model trains a small student model to match its behavior.
AI for BeginnersChatGPT Training Lab
The full origin story — pretraining, fine-tuning, RLHF — in 5 phases.
AI for BeginnersTokens & Context Window Lab
A train with limited seats shows why context windows run out of room.
AI for BeginnersTransformer Architecture Lab
Transformers as a gossiping party — how tokens pass information to each other.
AI for BeginnersSelf-Attention vs Cross-Attention Lab
A translation booth shows the difference between the two attention types.
AI for BeginnersTransformer Architecture Lab — Tower
The transformer stack visualized as a tower of stacked layers.
AI for BeginnersVector Database & RAG Lab
A cyberpunk vault of glowing vectors — how RAG retrieves relevant context.
‣ Deep Learning Internals
AI for BeginnersBatch Normalization Lab
A bookshelf vs a chessboard — comparing BatchNorm1d and BatchNorm2d.
AI for BeginnersNeural Network Debugging Lab
Investigate a misbehaving neural network like a detective at a crime scene.
AI for BeginnersLoss Curve Lab
A hospital-ER metaphor for diagnosing training runs from their loss curves.
AI for BeginnersTensor Shapes Lab
Build intuition for tensor dimensions and how memory layout actually works.
AI for BeginnersGAN Lab
A forger and a detective — generator vs discriminator, face to face.
AI for BeginnersTransfer Learning Lab
A heist-themed look at how knowledge transfers from a big model to a small one.
AI for BeginnersVAE Lab — Mutation
Mutate points in a latent space and watch generated outputs shift.
AI for BeginnersWeight Initialization Lab
Field, forest, jungle, barren land — four ways a network can start out.
‣ Math-to-Code
AI for BeginnersMath-to-Code Lab — Arena
Watch equations turn into working code in a gladiator-arena format.
AI for BeginnersMath-to-Code Lab — Forge
A fantasy forge where math symbols get hammered into real code.
