Abstract Large Language Models (LLMs) have recently gained significant attention due to
their remarkable capabilities in performing diverse tasks across various domains. However …

With the rise of large language models (LLMs), researchers are increasingly exploring their
applications in var ious vertical domains, such as software engineering. LLMs have …

Customer service chatbots have become integral to the efficient operation of many
businesses, offering scalable solutions to handle vast volumes of customer interactions …

This commentary explores the transformative potential and inherent risks associated with
artificial intelligence (AI), particularly generative AI. It focuses on the dual nature of AI, where …

Large language models (LLMs) produce sequences learned as statistical patterns from
large corpora. Their emergent status as representatives of the advances in artificial …

As large language models (LLMs) advance, their potential applications have grown
significantly. However, it remains difficult to evaluate LLM behavior on user-specific tasks …

What happens if we train a new Large Language Model (LLM) using data that are at least
partially generated by other LLMs? The explosive success of LLMs means that a substantial …

Prompting ChatGPT to achieve complex goals (eg, creating a customer support chatbot)
often demands meticulous prompt engineering, including aspects like fluent writing and …

The rapid advancement of Large Language Models (LLMs) has driven their expanding
application across various fields. One of the most promising applications is their role as …

The potential of using Large Language Models (LLMs) themselves to evaluate LLM outputs
offers a promising method for assessing model performance across various contexts …