Embedding
An embedding is a technique for converting complex information such as text, images, or audio into a sequence of numbers (vectors) that computers can understand. Think of it as assigning each concept or object a unique "numeric ID card," making it easy for AI to compare and compute.
How it works
It works by having an AI model analyze the data and map semantically similar items (such as "king" and "queen") to nearby positions in a numeric space. This representation is crucial because it lets computers "understand" and process unstructured information like text and images, forming the foundation of many AI applications.
Examples
- 1.In search engines, both your query and web page content are converted into embeddings, so the most semantically relevant results can be found quickly.
- 2.In recommendation systems, movies, products, or songs are converted into embeddings to suggest similar content based on your preferences.
- 3.In large language models (LLMs), input words are converted into embeddings as the first step in understanding and generating a response.
