Course
Embeddings
Turning text and other data into vectors that capture meaning.
L2 · IntermediateEvolvingKnown~2 h
What you’ll learn
- Explain what an embedding is and how vector geometry encodes meaning
- Measure similarity and distance and choose the right metric
- Select an embedding model and reason about multimodal embeddings
Prerequisites
llm-foundations
Module 1. Representation
What an embedding is and how similarity is measured.
Module 2. In Practice
Choosing embedding models and going multimodal.