π 2025-03-28 β Session: AI Model Prompt Engineering and Contract Review
π 15:50β17:30
π·οΈ Labels: Ai Models, Prompt Engineering, Contract Review, Legal Analysis, Ai Training, Complex Prompts
π Project: Dev
β Priority: MEDIUM
Session Goal
The session focused on two main objectives: enhancing AI model prompt engineering techniques and conducting a thorough review of legal contracts.
Key Activities
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AI Model Prompt Engineering
- Developed strategies for evaluating AI models through complex prompts.
- Created original prompts emphasizing user expertise and critical review.
- Designed prompts to induce intelligent failure in AI models, aiding in training.
- Conducted critical analysis of prompts for the Thaleβs Tales project.
- Outlined question designs in advanced physics to challenge AI models.
- Provided a workflow for developing complex MCQs.
- Optimized prompt design with a checklist for clarity and complexity.
- Utilized the GTFA Predictor for evaluating prompt complexity.
- Finalized precision in model evaluation with CoT annotations.
- Compiled a comprehensive checklist for high-quality AI training prompts.
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Contract Review
- Reviewed and suggested improvements for contract clarity and ambiguity reduction.
- Provided detailed analysis and corrections for various types of contracts including mutuo and comodato.
- Offered specific recommendations for payment terms, interests, and guarantees.
- Conducted a final professional review of a contract with legal adjustments.
Achievements
- Enhanced AI model training through improved prompt engineering techniques.
- Completed a thorough review of multiple legal contracts with actionable recommendations.
Pending Tasks
- Implement the refined prompts in AI model training sessions.
- Finalize and approve the revised contracts for execution.