Lecture on AI Education Project and Custom GPTs

Introduction

• The lecture discusses an educational beta test focused on using AI tools.
• Emphasis on learning through tutorials, case studies, and challenges rather than long courses.
• Aim: Empower users to learn quickly by doing.

Invitation to Beta Test

• February cohort opening.
• Access to a library of over 60 videos and challenges.
• Daily new content: tutorials, case studies, use case videos, and companion challenges.
• Community support available.
• Sign-up link: bit.ly/beta.

Custom GPTs Overview

• Simplified tutorial on custom GPTs.
• Custom GPTs as useful day-to-day apps, despite being glorified custom instructions.

Custom Instructions Background

• Feature allowing users to provide persistent information to ChatGPT.
• Format preference: Undergraduate comprehension, concise bullet points.
• Example: AI podcaster use case.

Creating Custom GPTs

• GPTs as mini apps with specific instructions for unique use cases.
• Example: AI Tutorial Muse GPT for brainstorming tutorial ideas.
  • Focus: Generative AI tools, concise explanations for non-technical users.
• Conversation starters for generating ideas.

Advanced Features of GPTs

• Ability to upload files and create actions outside ChatGPT.
• Demonstration: Building a new GPT for job descriptions.

Building a Job Description GPT

• Chat-based GPT Builder interface.
• Example: Job Description Copy Hero GPT.
  • Focus: Energetic, enthusiastic, professional tone.
  • Three-section format: Overview, Responsibilities, Skills/Attributes.
• Concerns about balancing mission orientation with tone.

Practical Example and Refinement

• Practical demonstration of creating a community manager job description.
  • Outcome: Accurate and close to desired format.
• Emphasis on practical use rather than full automation.

Conclusion

• Encouragement to experiment with building custom GPTs.
• Excitement about potential builds by others.

Key Takeaways

• Importance of hands-on learning with AI tools.
• Custom GPTs as flexible tools for specific needs.
• Practical application and refinement over full automation.