Robustness is Important: Limitations of LLMs for Data Fitting
NeutralArtificial Intelligence
Recent research highlights the growing use of Large Language Models (LLMs) beyond traditional language tasks, particularly in data fitting and prediction generation. While LLMs have shown competitive performance compared to standard supervised learning methods, it's crucial to understand their limitations. This exploration is significant as it informs researchers and practitioners about the potential and challenges of using LLMs in various applications, ensuring more informed decisions in data-driven fields.
— Curated by the World Pulse Now AI Editorial System




