Generative AI Fundamentals

Generative AI learning path

Master generative ai fundamentals through 10 carefully ordered interview questions. Each lesson includes a detailed explanation, practical example, common mistakes, and an interview-ready summary.

10 questions4 easy · 3 medium · 3 hard difficulty mix≈ 50 min total study time

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Table of contents

Work through the questions in order for a guided path, or jump directly to the concept you want to review.

01What is generative AI?easy · junior level · 5 min read→02How do large language models generate text?hard · senior level · 5 min read→03What are tokens and tokenization?medium · mid level · 5 min read→04What is a context window?easy · junior level · 5 min read→05What is temperature in text generation?hard · senior level · 5 min read→06What is the difference between parameters and hyperparameters?medium · mid level · 5 min read→07What are embeddings?easy · junior level · 5 min read→08What is fine-tuning?hard · senior level · 5 min read→09What is inference?medium · mid level · 5 min read→10What are multimodal models?easy · junior level · 5 min read→