About this document
Efficacy of Prompting Strategies in ChatGPT by Muhammad Faiz is a document available to read on EtoBox.
This study investigates the effectiveness of different prompting strategies, specifically text-to-code and code-to-code, in guiding ChatGPT for computer programming tasks. Results show that code-to-code prompting significantly outperformed text-to-code prompting, achieving a 93.55% accuracy rate compared to 29.03%. The findings suggest that optimized prompting methods are crucial for enhancing code generation quality, and future research should explore best practices for prompt design.
- Author
- Muhammad Faiz
- Language
- EN