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AI Model Selection, Tasks, and Responsible Use Cases

Lesson 1: Start with the Task, Not the Tool

Lesson Objectives

By the end of this lesson, students should be able to:

  • Turn a vague AI idea into a specific task.
  • Match common tasks to common AI approaches.
  • Recognize when AI may not be needed.

Lesson Content

Many projects fail because the tool is chosen before the job is understood. "We need AI" is not a task. "Summarize support calls into issue themes" is a task. "Extract invoice number, vendor name, and amount from uploaded PDFs" is a task. "Generate three draft lesson examples for a beginner course" is a task.

Task type matters. Generation creates new material. Classification assigns labels. Extraction pulls fields from input. Retrieval finds relevant knowledge before answering. Automation takes actions and may need permission gates. Some tasks may be better handled with a form, database rule, search box, or human checklist.

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