Use this template to plan and execute successful Reinforcement Learning from Human Feedback projects with structured frameworks that minimize risks and maximize AI model performance.

Tip: Copy this template to your workspace and adapt it for your specific AI model and alignment objectives.

📋 1. RLHF Readiness Assessment

Evaluate your preparation for successful RLHF implementation

Model Readiness Evaluation

Base Model Assessment:

• Model type: _______________________
• Model size (parameters): _______________________
• Current performance metrics: _______________________
• Training data quality: Excellent/Good/Fair/Poor
• Existing fine-tuning: Yes/No - Details: _______________________

Pre-RLHF Requirements Checklist:

• [ ] Model demonstrates basic competency in target tasks
• [ ] Sufficient computational resources for RL training available
• [ ] Model architecture supports policy gradient methods
• [ ] Baseline evaluation metrics established
• [ ] Model safety measures implemented

Technical Infrastructure:

• [ ] RLHF training pipeline components identified