Lecture on Chad gbt 01 Model and Prompting Techniques

Introduction

• Overview of the new Chad gbt 01 model.
• Focus on five specific prompts to optimize the model.
• Comparison with other models like GPT-4, Claude, and Perplexity.
• Emphasis on deeper connections and tailored responses.

AI Foundation Community

• A community aimed at mastering AI efficiency and productivity.
• Network of 337 members sharing insights and feedback.
• Features classroom courses and weekly live calls.

Differences of the 01 Model

• Trained with reinforcement learning for complex reasoning.
• Employs long internal Chain of Thought prompting.
• Ensures tailored and adaptable solutions to user problems.

Key Prompting Techniques

1. Brainstorming Paradigm

• Developed unique seven-step brainstorming prompt.
• Includes iterative looping for refining solutions.
• Steps: Define problem, brainstorm solutions, probability evaluation, exclude lower probability solutions.

2. Drawing Deeper Connections

• Consolidate information between two subjects.
• Example using Chain of Thought prompting research.
• Highlights the revolutionary aspect of internal reasoning without user prompts.

3. Explaining Reasoning

• Ask the model to explain how it reached conclusions.
• Provides sustainable understanding of the solution.
• Example with a content calendar for a YouTube channel.

4. Developing Actionable Plans

• Uses backcasting to create strategic plans.
• Define desired future state and assess current state.
• Example of achieving community membership goals.

5. Enhancing Writing

• Enhances existing writing by reviewing and improving its answers.
• Example with strategic plan improvement.

Conclusion

• Encouragement to utilize these prompts for better AI interaction.
• Promotion of AI Foundation Community for learning and networking.
• Final thoughts on the potential of Chad gbt 01 and its unique capabilities.