Darren Astle Travasso

Evaluating Prompt Engineering Techniques for LLaMA-3: A Study of Zero-Shot, Few-Shot, and Chain-of-Thought Prompts Across Reasoning and Classification Tasks

Prompt engineering has emerged as a practical and resource-efficient alternative to fine-tuning large language models (LLMs), particularly as these methods have a lower computation cost than fine-tuning. In this paper, three widely adopted prompting techniques—Zero-Shot, Few-Shot, and Chain-of-Thought (CoT)—were assess...