Three hands-on interactive stations that teach core AI concepts by doing. 3–5 minutes each. No technical background required.
Walk through the five phases of modern AI training: data collection, pre-training, post-training, evaluation, and deployment. Each option shows what actually happens at that step in practice, with peer-reviewed or lab-published sources. A concluding section highlights the two decisions that most clearly move environmental impact (grid choice and model size) without pretending to a precision the disclosure landscape doesn’t support.
LLM stands for Large Language Model — the AI behind tools like ChatGPT, Claude, and Gemini. An LLM doesn't look up answers; it predicts the most likely next word, one token at a time. Watch tokens appear live, then adjust the temperature dial to see how the same prompt produces more conventional or more surprising completions. Temperature 0 is fully deterministic; higher temperatures sample from wider probability distributions.
Every AI product is built on three distinct layers: the model, the harness, and the app. Sort twelve products and concepts into the layer each one belongs to, then get instant feedback. The same Claude model powers both claude.ai and Microsoft Copilot — the difference lives in the harness and the app.
Built for nonprofit leaders, social impact professionals, educators, and anyone curious about how generative AI actually works. Works well as a self-guided exploration or as a facilitated teaching tool in workshops and training sessions.