Understanding LLM Embeddings from Scratch — Part 5: Word2Vec

In Module 4, we treated embeddings as raw parameters—numbers in a matrix tuned by backpropagation to minimize a loss value. Now, we step back from the raw mechanics to look at the emergence of meaning