Psychopathology of Large Language Models: Foundation Models in a Neurobiological Perspective

The performance of large language models (LLMs) is growing at a breakneck pace. Models provide more coherent and consistent answers, with a progressive and significant reduction of hallucinations. This improvement is mainly related to the overall optimization of model architecture and training data, as well as the constant increase in parameters. Nonetheless, hallucinations are still occurring, sometimes in unexpected ways, and it is still a significant challenge to trace the source of these anomalies. Our understanding of the inner workings of LLMs is less detailed than what one could assume when looking at their widespread application, and this is a considerable limit in specific domains where random and unexpected errors could lead to severe consequences (e.g., healthcare and finance). <a href="https://pub.towardsai.net/psychopathology-of-large-language-models-foundation-models-in-a-neurobiological-perspective-0f6f6e96a82b">Visit Now</a>