Representation is King: The Journey to Quality Dialog Embeddings

Explore the world of sentence embeddings and their application in dialog systems through this 27-minute conference talk from EuroPython 2024. Dive into a practical use case involving dialog classification, demonstrating the importance of sentence transformers. Learn how to fine-tune a top-performing small-sized sentence transformer model using both labeled and unlabeled dialog data with the SentenceTransformers Python framework. Gain valuable insights through easy-to-follow examples designed to build intuition around this topic. While basic knowledge of Transformers is helpful, the talk welcomes newcomers to natural language processing and provides a comprehensive introduction to quality dialog embeddings.