Understanding LLM Embeddings: A Visual Guide to Evolution and Future Trends
The article explores the often overlooked but crucial role of embeddings in large language models (LLMs), discussing their inscrutability, how they encode semantic meaning, and techniques like LogitLens for interpretability, while highlighting the complexity and high-dimensional nature of embedding spaces.