The emergence of Large Language Models (LLMs) such as GPT-4, BERT, and their counterparts has revolutionized artificial intelligence across industries. These advanced AI systems power a variety of applications, from chatbots and content generation to sophisticated decision-making tools. However, deploying LLMs in real-world scenarios brings challenges such as ensuring accuracy, fairness, robustness, and efficiency. LLM evaluation tools have become essential for organizations aiming to maintain high standards of performance and reliability in these AI-driven systems.

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