training
4 free lessons tagged training across Business, AI. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Agent Assist: Helping the Human Instead of Replacing Them
The higher-return deployment is usually the one that helps agents rather than removing them. This lesson covers drafting and knowledge surfacing, why suggestion acceptance is a misleading metric, the effect on new agents learning the job, and how assist tooling changes what an agent is measured on.
AI Literacy and What the EU AI Act Actually Requires
AI literacy has a legal definition in the EU AI Act, and the obligation attached to it changed in 2026. This lesson covers Article 3(56), the original Article 4 duty to ensure a sufficient level of literacy, how the Digital Omnibus reframed it as an obligation of effort rather than result, who is bound, which AI systems are in scope, and the adjacent duties that remain hard requirements.
Training Energy-Based Models
Training an EBM means shaping an energy landscape so real data sits in valleys, but the intractable partition function blocks plain maximum likelihood. This lesson covers the push-down-push-up principle, contrastive methods (contrastive divergence, noise-contrastive estimation), score matching, and the regularized alternative that avoids sampling entirely.
LLM Scaling Laws: From Kaplan to Chinchilla and Beyond
How two landmark papers — Kaplan et al. 2020 and DeepMind's Chinchilla 2022 — rewrote our understanding of compute-optimal training, why the industry now deliberately overtrains models, and how inference costs flip the math entirely.