With the rise of Large Language Models (LLMs), a new capability has emerged in the AI landscape: LLM agents. Distinct from traditional AI models that respond passively to isolated prompts, LLM agents are designed to function as dynamic, autonomous assistants....

As NLP (Natural Language Processing) models become a part of our daily lives, objectively evaluating their performance is more important than ever. BLEU and ROUGE are two of the most commonly used metrics for evaluating how accurately a model generates,...

As artificial intelligence (AI) technologies continue to shape modern business, the role of robust data governance has grown essential. Effective data governance ensures the quality, consistency, and security of data, enhancing both the performance and reliability of AI models. Through...

As artificial intelligence rapidly advances, the ability of large language models (LLMs) to adapt to the social and cultural nuances of different countries becomes increasingly essential. The recent KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge study,...

On the 14th, Alibaba Group and its subsidiary Ant Group unveiled Animate-X, a model capable of transforming any image into video. Similar models have emerged in the past, with some even reaching commercial service levels. What unique features does this...

As AI technology—particularly large language models (LLMs)—continues to advance rapidly, concerns about the safety and reliability of these systems are growing. AI Red Teaming has emerged as an effective solution for identifying and mitigating potential risks in LLMs. By systematically...

The development of advanced chatbots is increasingly being powered by Large Language Models (LLMs). These models have revolutionized how we approach natural language understanding and generation, allowing chatbots to offer more contextually relevant and accurate responses. However, for an LLM-based...