PAIC LetsAI: Gen AI Series – Part 3: Word Embeddings

Description

This session explains how text is converted into numerical vector representations. We will cover word and sentence embeddings, semantic similarity, and vector spaces. Participants will understand how embeddings capture meaning and context in language. Use cases in search, recommendation, and RAG systems will be discussed.