Day 16: Cosine Similarity and Semantic Search Basics

Previously, on Day 15: Explained why visualizing word embeddings is useful, introduced the challenges of high-dimensional data, and compared two popular dimensionality reduction techniques—PCA and t-SNE—for plotting embeddings, with code examples for practical visualization. What Cosine Similarity Measures Cosine similarity measures how closely... Weiterlesen