A prompt tuning experiment using dspy to enhance reasoning task responses.
It focuses on improving accuracy, clarity, and engagement in answers through structured prompt optimization.
- 🎯 Goal: Improve step-by-step reasoning quality in generated outputs.
- ✅ Final Accuracy:
0.86 - ⚡ Performance: ~149 iterations/second
- 💬 Output Style: Interactive, human-like, and context-aware explanations.
The final prompt encourages educational, engaging, and concise responses by integrating the reasoning process naturally into the final answer.