The Challenge of Understanding AI Complexity

Artificial Intelligence presents a challenge due to its inherent complexity, especially in large language models (LLMs) like chat GPT. These models, based on neural networks, operate by identifying patterns in data, making the reasoning behind their decisions unclear and often deemed as 'black boxes.' Researchers are delving into explainable AI (XAI) to unravel the inner workings of LLMs, aiming to enhance their safety, efficiency, and reliability. The rapid advancement of LLMs has raised concerns regarding misinformation, bias, and privacy breaches, highlighting the critical need for transparent AI systems.