Category: Machine Learning

Large Language Models (LLMs) have revolutionized how we interact with artificial intelligence, offering impressive capabilities in understanding and generating human-like text. However, despite their strengths, a critical limitation remains: LLMs often generate factually incorrect information, especially when it comes to numerical or statistical data. This phenomenon, known as “hallucination”, occurs when the model confidently presents […]