Single-page explorables you learn by messing with. Every one runs live in your browser, no video, no slides. Filter by what you're into.
What an AI assistant really is under the hood: prediction, not a mind. Feel the guessing happen for yourself.
A plain map of what AI nails and where it quietly fails. Pick a task, get a green or red light.
A plain-language map of GenAI, from token to agent, with every term drawn as something you can picture.
How to compare AI models and test prompts, so you know when a change really helped and not just felt better.
How to discover what today's AI models can do and track what's next, without the constant fear of missing out.
A field guide to prompting, from zero-shot to ReAct: the words you choose are the actual instructions.
How reasoning models work: the hidden scratch paper where the model thinks step by step before it replies.
What multimodal really means: one model handling text, images and sound, and how multi-model is a different thing.
Why pouring GenAI into every workflow doesn't move the needle, and what real reinvention actually takes.
Rate limiting explained live: token buckets, sliding windows, and what happens when the requests flood in.
Azure service principals, OAuth, and how the permissions you grant quietly decide your blast radius.
One slice grew huge. Don't scan the whole table to fix it: locality, pruning, and cheap bulk removal.
Governance, risk and compliance as one machine that keeps an organization honest with itself. The whole loop, explained.
The seven parts every GRC program is built from, and how they fit together into one working system.
A hands-on walkthrough of the seven building blocks of GRC, taken one piece at a time.
Risks, controls, policies, incidents: the living records a GRC program keeps, and how they connect.
A map of the regulations an organization must answer to, and how obligations turn into concrete controls.
GRC applied end to end to generative AI: the new risks, controls and guardrails, from model to deployment.
Before a model sees your words, they're split into tokens and turned into numbers. Watch the text break apart.
A scary dynamic-programming problem (LeetCode 416) made friendly: tip a balance scale, fill a checklist of reachable sums, read the code in Python, Rust and JS.
Hallucination isn't a bug someone forgot to fix. It falls straight out of how the model works, and how to ground it.
Drag a word around a space and watch meaning turn into coordinates. Real cosine math you can feel.