Study: embeddings plus simple classifiers beat Jev model
A Voyage AI employee reported that using an embedding model plus a simple sklearn classifier was cheaper and significantly more accurate than the Jev decision model when labeled data is available, cutting error by 37%. The author noted the gain comes from training labels that Jev does not use, so zero-shot cases may differ.