Unraveling the Mystery of Superposition in Large Language Models
Published:
In the rapidly evolving field of artificial intelligence, Large Language Models (LLMs) like GPT, BERT, and their successors have emerged as powerful tools capable of understanding and generating human-like text. While these models demonstrate remarkable abilities, their inner workings remain largely opaque. One intriguing theory attempting to explain the efficiency and capability of LLMs is the concept of “superposition” - a phenomenon borrowed from quantum physics to describe how these models might represent information internally.