Public boards
Public whiteboards
Crawlable teaching boards and public projects — start with Python, LLM/Transformers, or Raspberry Pi.
Python
First steps and OOP inheritance/polymorphism boards.
LLM & Transformers
Tokens → attention → assistants — full public series.
Raspberry Pi
Boot, Flask, GPIO, Docker, cameras, and on-device ML.
All public boards
- LLM & Transformers course map — teaching whiteboardCourse map for LLMs and Transformers: tokens, prediction, attention, and the full stack — a free public chalkline whiteboard.
- Next-token prediction — how LLMs generate textPredict the next token: the core of language models, explained on a free teaching whiteboard with worked examples.
- Word & token embeddings explained for LLMsWhat embeddings are and why language models need them — free public ML teaching whiteboard.
- Raspberry Pi tutorial series roadmapRoadmap for Raspberry Pi tutorials: boot, Flask, GPIO, home server, Docker, vision, and ML.
- RNNs for sequences — sequential NLP modelsRecurrent networks for language: how they read sequences and where they struggle — public teaching board.
- Python inheritance & polymorphism — OOP teaching whiteboardA 2-hour Python OOP whiteboard on inheritance and polymorphism with concrete class examples for oral teaching.
- Attention as soft lookup — LLM building blockAttention as a soft dictionary lookup over values — concrete numbers on a free teaching whiteboard.
- Causal attention in language modelsWhy GPT-style models use causal (masked) attention so tokens only see the past — public whiteboard.
- Positional encodings in TransformersHow Transformers know token order without recurrence — positional encodings on a public teaching board.
- Train vs generate — how language models runTraining time vs generation time for language models — a clear public teaching whiteboard.
- Raspberry Pi motion camera projectBuild a motion-detecting camera on Raspberry Pi — free public vision tutorial board.
- LLM sampling: temperature, top-k, and top-pHow sampling turns a next-token distribution into text — temperature and nucleus sampling on a public whiteboard.
- Why attention beats CNNs and RNNs for languageThe motivation for attention: what CNNs and RNNs miss on long sequences — free LLM whiteboard.
- Scaled dot-product & multi-head attentionScaled dot-product attention and multi-head attention — the math behind Transformers on a free board.
- Raspberry Pi 5 home server — full setupTurn a Pi 5 into a home server — storage, services, and setup on a free public whiteboard.
- Transformer architecture stack explainedThe full Transformer stack: layers, residuals, and feed-forward blocks — free LLM whiteboard.
- From language model to AI assistantHow base LMs become assistants: instruction tuning and chat formatting — free public whiteboard.
- Raspberry Pi first boot & headless SSH setupFirst boot a Raspberry Pi without a monitor — enable SSH and connect headless. Public whiteboard.
- Build a Flask website on Raspberry PiFollow-along Flask website on a Raspberry Pi — free public teaching whiteboard.
- Raspberry Pi GPIO: LED & I2C hands-onGPIO LED and I2C on Raspberry Pi — hands-on public tutorial whiteboard.
- CNNs for sequences — NLP before TransformersUsing convolutional networks on text sequences: strengths and limits, taught on a free public whiteboard.
- Python first steps — beginner teaching whiteboardLearn Python basics on a free public teaching whiteboard: variables, input, and first programs laid out for live tutoring.
- LLM tokenization explained — from text to tokensHow language models turn text into tokens. Free public LLM teaching whiteboard with concrete string examples.
- Self-attention explained for TransformersSelf-attention: every token looks at every token. Free public Transformer teaching whiteboard.
- Raspberry Pi models, price & common usesWhich Raspberry Pi to buy and what people build — free public tutorial whiteboard.
- Docker on Raspberry Pi: Portainer & Pi-holeRun Portainer and Pi-hole with Docker on a Raspberry Pi — public tutorial whiteboard.
- Raspberry Pi ML: TFLite + Flask APIOn-device ML with TensorFlow Lite and a Flask API on Raspberry Pi — public teaching whiteboard.
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