A vector embedding is a numerical representation created by an embedding model. The model converts text into a list of numbers that can be compared with other vectors, helping a retrieval system find passages with similar meaning even when they use different words. Semantic retrieval is one tool AI systems can use to find source material; modern retrieval can also combine semantic search with keyword search and other relevance signals.
Federal pressure may force design education to rethink its identity
Why an earnings test raises uncomfortable questions about art, professional practice, and the value of a degree. Image source: Adobe Stock The Price of a Degree The federal government has decided to ask a question higher education has long avoided. What is a degree worth? Under the U.S. Department of Education’s new earnings-accountability framework, undergraduate programs will be … Weiterlesen
