DigiNews

Summary

Maayan Roth's blog post explains Chapter 2 of The Hundred-Page Language Models Book, focusing on tokenization, embeddings, and evaluation frameworks. It covers Word2Vec as a method to produce dense embedding vectors that capture semantic relationships, and shows how simple vector arithmetic can reveal relationships like king - man + woman approximating queen. The post includes interactive demos and comparisons of embedding models (text8, enwik9, GloVe) and reflects on how model size and training data affect embedding quality.