Developed Advanced AI Prompt Strategies

• Day: 2025-03-28
• Time: 15:50 to 16:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Ai Prompt Engineering, Model Evaluation, Education, Ai Training

Description

Session Goal: To explore and develop strategies for creating advanced AI prompts and evaluate their effectiveness.

Key Activities:

1. Discussed strategies for challenging AI models with complex prompts to enhance educational outcomes.
2. Proposed methods for developing original prompts emphasizing user expertise and critical review.
3. Crafted intelligent failure prompts to train AI models in reasoning errors.
4. Conducted critical analysis of prompts for the Thale’s Tales project.
5. Designed question outlines to test AI models on advanced physics topics.
6. Outlined workflows for MCQ development targeting AI models.
7. Created a checklist for optimizing prompt design for AI models.
8. Provided an overview of GTFA Predictor usage for evaluating prompt complexity.
9. Drafted final instructions for creating prompts that ensure AI reasoning errors.
10. Compiled an ultimate checklist for AI model training prompts.

Achievements: Successfully developed and refined multiple strategies and tools for AI prompt engineering, contributing to enhanced AI training methodologies.

Pending Tasks: Further refinement of prompt strategies and evaluation methods to ensure comprehensive AI model training.

Evidence

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