Perplexity releases pplx-embed-v2-context-9b-preview, a new state-of-the-art contextual embedding model
Original titleWe built a new way to train contextual embedding models, which encode each chunk of a document with the whole document in view.
AISummary
Perplexity introduced a new training method for contextual embedding models that encode each document chunk with the whole document in view. Its pplx-embed-v2-context-9b-preview sets a new state of the art on the ConTEB benchmark and on turbopuffer's privately held context-bench.
Source: Perplexity · x.comPublished · added here