Vedant Gaur

Vedant Gaur

Aspiring engineer and founder with a focus on ML and AI, specifically LLM applications.

Posts by Tags

artificial intelligence

Unraveling the Mystery of Superposition in Large Language Models

3 minute read

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.

large language models

Unraveling the Mystery of Superposition in Large Language Models

3 minute read

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.

machine learning

Unraveling the Mystery of Superposition in Large Language Models

3 minute read

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.

superposition

Unraveling the Mystery of Superposition in Large Language Models

3 minute read

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.