Short, accurate, free guides linked to the mej7.com interactive lab. Each page answers a real question and points to the matching lab section.
A clear beginner answer: what AI is, how it relates to machine learning, and where to practice free on mej7.com.
Simplified explanation of ChatGPT-style language models — tokens, next-word prediction, no claim of real production weights.
What LLMs are, how they relate to transformers, and where to explore them interactively on mej7.com.
Tokens are the pieces models read — explained clearly with a link to mej7.com’s interactive tokenizer lab.
Embeddings turn tokens into number vectors — beginner-friendly explanation with mej7.com’s visualization.
Weights and biases are learned parameters — simple explanation with a link to the Weights lab section.
Attention lets models focus on relevant tokens — explained with mej7.com’s visual lab.
Training, loss, and updating parameters — beginner overview linked to mej7.com’s Training section.
A practical starting path on mej7.com — Beginner to Intermediate, free browser content.
Summary of the actual curriculum: Beginner, Intermediate, Advanced, Neural Network Lab, quiz — free in the browser.