Course Finale

Summary (Part 1) · Fundamentals + Harness

Course summary, part 1 of 2: Module 1 "How LLMs Are Built" builds your cognitive intuition; Module 2 "How to Write Effective Prompts" gets AI to output what you actually want.

Module 1

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Module 1 · How LLMs Are Built

Build your cognitive intuition — don't get fooled

Key Concept 1

Chatting is not learning — parameters are frozen

Once training ends, the model is fixed. In every conversation, the model does not remember and does not improve. AI is billed by Token, not by question.

Key Concept 2

Hallucination is a structural problem — it cannot be eliminated

The model predicts the next Token — it doesn't query a database. Knowledge cutoff, confident fabrication, and fact confusion are three categories of hallucination that can only be mitigated, not eliminated.

Mitigation

RAG: Inject real documents into the Prompt

At each conversation turn, inject relevant documents into the context so the model answers while looking at the source material — that's the essence of RAG. The model hasn't learned new knowledge.

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Common misconception: Thinking AI learns and improves with every conversation — the more you use it, the smarter it gets

Module 2

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Module 2 · How to Write Effective Prompts

Get AI to output what you want — not guess

System Prompt

Say what you want — it becomes that

System Prompt defines role, tone, and constraints. Same model, different Prompt, completely different outputs. This is the core lever for AI product differentiation.

Few-Shot Examples

Showing examples beats explaining in words

Rather than describing what to do, give 2-3 input→output examples directly. The model will infer your expected format and style from them.

CoT Chain-of-Thought

Make the model think before answering — accuracy improves

For complex tasks, adding "please analyze step by step" significantly improves accuracy. Force the model to write out its reasoning process before giving the answer.

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Common misconception: Shorter Prompts are better. In fact, the clearer the description, the more stable the output

Course Summary · Part 1 · Part 2: Agent + Cost + Safety & Compliance