Section 1 - Instruction

You've learned the difference between AI models and AI applications. Now let's practice identifying these concepts in real data analytics scenarios and understand why this distinction matters for data professionals.

Engagement Message

Ready to become a models-vs-apps expert in the data world?

Section 2 - Practice

Type

Multiple Choice

Practice Question

Your analytics team is considering switching from using ChatGPT to Claude for data analysis and report generation. What are you actually switching?

A. Just the AI model while keeping the same interface B. The entire AI application including interface and features C. Only the data processing infrastructure D. Just the data storage and query system

Suggested Answers

  • A
  • B - Correct
  • C
  • D
Section 3 - Practice

Type

Fill In The Blanks

Markdown With Blanks

Fill in the blanks: When ChatGPT upgraded from GPT-3.5 to GPT-4, they changed the [[blank:AI model]] while keeping the same [[blank:user interface]].

Suggested Answers

  • AI model
  • user interface
  • data pipeline
  • dashboard design
Section 4 - Practice

Type

Sort Into Boxes

Practice Question

Sort these features into the correct category for data analytics tools:

Labels

  • First Box Label: Model Capabilities
  • Second Box Label: Application Features

First Box Items

  • Data pattern recognition
  • Statistical analysis
  • Code generation

Second Box Items

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