Getting Started With Embeddings
Hugging Face Blog
Embeddings are numerical representations that capture the semantic meaning of text, images, and other information, enabling systems to compare and search across different types of data. The tutorial demonstrates creating embeddings using Sentence Transformers to convert 13 Medicare FAQ questions into vectors of 384 numbers each, then matching a customer query to the most similar FAQs. This approach allows developers to build search engines, recommendation systems, and chatbots without requiring deep machine learning expertise or large labeled datasets.
