📅 2025-03-28 — Session: Developed Advanced AI Prompt Strategies
🕒 15:50–16:45
🏷️ Labels: Ai Prompt Engineering, Model Evaluation, Education, Ai Training
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: To explore and develop strategies for creating advanced AI prompts and evaluate their effectiveness.
Key Activities:
- Discussed strategies for challenging AI models with complex prompts to enhance educational outcomes.
- Proposed methods for developing original prompts emphasizing user expertise and critical review.
- Crafted intelligent failure prompts to train AI models in reasoning errors.
- Conducted critical analysis of prompts for the Thale’s Tales project.
- Designed question outlines to test AI models on advanced physics topics.
- Outlined workflows for MCQ development targeting AI models.
- Created a checklist for optimizing prompt design for AI models.
- Provided an overview of GTFA Predictor usage for evaluating prompt complexity.
- Drafted final instructions for creating prompts that ensure AI reasoning errors.
- 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.