Analyzing the Efficacy of Large Language Models: A Comparative Study
摘要
With the rise of large language models (LLMs) and natural language processing (NLP) methods in businesses and industries, our research evaluates two prominent LLMs: GPT-3.5 Turbo by OpenAI and Llama 2 by Meta. We used an automated process to generate and fine-tune question-answer pairs, enhancing accuracy. Using established metrics, we quantified performance and developed a comprehensive evaluation metric. Our analysis highlighted the need for further improvements to address prevalent issues such as inaccuracies and ambiguities.