This week's FiftyOne tips and tricks blog covers embeddings in computer vision. Embeddings are numerical vectors that represent visual features of images or videos, capturing underlying characteristics for tasks such as image classification, object detection, and image retrieval. In FiftyOne, the Brain library helps manage and utilize embeddings to analyze and visualize datasets, accelerating machine learning workflows. Tips include computing sample properties like uniqueness and similarity from embeddings, visualizing embeddings using dimensionality reduction techniques, using custom embedding models, computing embeddings for object patches, and performing zero-shot classification with CLIP.