Module 2: Module-2 in AI-Basics (BG)

Module
How do large language models actually work? Thi…

Module 2 demystifies the mechanics behind large language models. Learners won't write code or do math — they'll build a conceptual model of how AI is trained, what 'tokens' and 'context windows' mean in practice, and why AI confidently produces wrong answers. This module turns AI from a mysterious oracle into a comprehensible tool with known strengths and failure modes.

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Free trial available: Module 1, Topic 1 — AI, Machine Learning, and Generative AI: What's the Difference?
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1
How AI Is Trained: Data, Patterns, and the Scale That Changes Everything What it means to 'train' an AI model — the conceptual picture without any math or code
2
Tokens, Context Windows, and Temperature: What They Mean for You The three AI concepts users encounter most often — explained in practical terms that change how you use AI tools
3
Why AI Makes Things Up: Understanding Hallucination Why confident-sounding AI output is sometimes completely wrong — and the practical habits that protect you
Module

How do large language models actually work? This module explains training, tokens, contex…

Module 2 demystifies the mechanics behind large language models. Learners won't write code or do math — they'll build a conceptual model of how AI is trained, what 'tokens' and 'context windows' mean in practice, and why AI confidently produces wrong answers. This module turns AI from a mysterious oracle into a comprehensible tool with known strengths and failure modes.

Sign in to join the discussion.
Recent posts
No posts yet.
Navigator
Topics
3
Free trial available: Module 1, Topic 1 — AI, Machine Learning, and Generative AI: What's the Difference?
Go to trial topic
1
How AI Is Trained: Data, Patterns, and the Scale That Changes Everything What it means to 'train' an AI model — the conceptual picture without any math or code
2
Tokens, Context Windows, and Temperature: What They Mean for You The three AI concepts users encounter most often — explained in practical terms that change how you use AI tools
3
Why AI Makes Things Up: Understanding Hallucination Why confident-sounding AI output is sometimes completely wrong — and the practical habits that protect you
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