What are embeddings?
OpenAI’s text embeddings measure the relatedness of text strings. Embeddings are commonly used for:
- Search (where results are ranked by relevance to a query string)
- Clustering (where text strings are grouped by similarity)
- Recommendations (where items with related text strings are recommended)
- Anomaly detection (where outliers with little relatedness are identified)
- Diversity measurement (where similarity distributions are analyzed)
Classification (where text strings are classified by their most similar label)
#embeddings
#openai
