Unlocking AI's Potential: Deep Dive into Knowledge Internalization for LLMs

This article offers a fascinating perspective on addressing the common issue of AI "Hallucination". It emphasizes the importance of moving beyond surface-level explanations, advocating for knowledge internalization to truly unlock the potential of Large Language Models. The analysis of RAG's limitations is particularly insightful.

• •The article suggests that current AI "Hallucination" is not a bug but a structural flaw.
• •It points out the limitations of RAG, highlighting that it doesn't solve the core issue of knowledge internalization.
• •The core solution to Hallucination is developing AI that can truly understand and internalize knowledge.