Module 1

Module 1: AI Concepts & Terminology

Master the vocabulary of AI and understand how LLMs actually work

⏱ 45 minutes Beginner
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Welcome to Module 1!

Before we jump into writing complex medical notes, we need to speak the same language. This module is designed for absolute beginners. If you’ve never used ChatGPT or an LLM before, you are in the right place.

Learning Objectives

By the end of this module, you will understand:

  • What a “Prompt” actually is (Input vs Output)
  • Zero-Shot vs. Few-Shot Prompting (The power of examples)
  • The Context Window (How much can the AI remember?)
  • Hallucinations (Why AI lies and how to catch it)

Lesson 1: The “Hello World” of Prompting

An LLM (Large Language Model) is like a very advanced autocomplete engine. It predicts the next word based on the text you give it.

The text you give it is called the Prompt. The text it generates is called the Output.

The quality of the Output depends entirely on the quality of the Prompt. This is called “Garbage In, Garbage Out.”

Exercise 1.1: Your First Prompt

Let’s start with something simple. You have an email from a practice manager, Sarah. She wants to schedule a meeting. Your job is to extract the available times.

Exercise 1.1: The "Hello World" of Prompting

Beginner ⏱ 10 minutes
Ready to start

Your Challenge

Write a prompt to extract the available meeting times from Sarah's email.

View Source Email
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Tip: Just ask for what you want clearly. "List the times..."

Generated Output:

Attempts: 0 | Best Score: -/10

Lesson 2: Zero-Shot vs. Few-Shot

In AI terms, a “Shot” is an example.

  • Zero-Shot: Asking the AI to do something without giving any examples.
    • Example: “Translate this to Spanish.”
  • Few-Shot: Giving the AI one or more examples of what you want.
    • Example: “Translate this to Spanish. Example: Hello -> Hola. Text: Goodbye.”

Few-Shot is almost always better. It shows the AI the pattern you want it to follow.

Exercise 1.2: The Power of Examples

Now, let’s try to get that same email data into a specific format: JSON (a format computers use). This is hard to describe in words, but easy to show with an example.

Exercise 1.2: Zero-Shot vs Few-Shot

Beginner ⏱ 15 minutes
Ready to start

Your Challenge

Extract the meeting times into a JSON object. Try providing an example (Few-Shot) to get the format exactly right.

View Source Email
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Tip: Define the structure you want by showing an example of it.

Generated Output:

Attempts: 0 | Best Score: -/10

Lesson 3: The Context Window

The Context Window is the “short-term memory” of the AI. It’s the maximum amount of text the AI can consider at one time.

If you paste a 50-page medical record, the AI might “forget” the beginning by the time it reads the end. Or, it might hallucinate details because it’s overwhelmed.

Key Concept: You must be specific about where the AI should look.

Exercise 1.3: Finding the Needle

Now we switch to a medical transcript. It’s long. Your job is to find one specific detail without making the AI hallucinate.

Exercise 1.3: The Context Window

Beginner ⏱ 15 minutes
Ready to start

Your Challenge

Find exactly what the patient said about their diet. Do not include other details.

View Patient Transcript
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Tip: Use phrases like "Based ONLY on the text provided..."

Generated Output:

Attempts: 0 | Best Score: -/10

Module 1 Complete! 🎉

You’ve mastered the basics! You now understand:

  • Prompts are just instructions.
  • Examples (Few-Shot) make prompts much more powerful.
  • Context is key to accuracy.

Next, we’ll apply these concepts to build full clinical notes.

Continue to Module 2 →

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