Aravind Srinivas @AravSrinivas

We’re open sourcing our state-of-the-art contextual embedding models, which perform best in turbopuffer’s context-bench. [引用 @perplexity_ai]: We built a new way to train contextual embedding models, which encode each chunk of a document with the whole document in view. pplx-embed-v2-context-9b-preview sets a new state of the art on ConTEB and @turbopuffer's new, privately held context-bench. https://t.co/tkBUEjWVio https://t.co/yz1eVPrJjR