Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code

Jiho Shin, Clark Tang, Tahmineh Mohati +3

The rapid advancements in large language models (LLMs) have greatly expanded the potential for automated code-related tasks. Two primary methodologies are used in this domain: prom…