Embeddings Explained: How LLMs Turn Words into Vectors

How do language models work with words as numbers? This video explains embeddings in simple language with clear visual examples. Learn how tokens become vectors and what an embedding space represents. Explore how vector similarity helps identify related words and concepts. Understand the difference between token IDs and embedding vectors. Build a foundation for understanding LLMs, semantic search, and RAG. #Embeddings #LLM #MachineLearning #CuriousGradient