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Aravind Srinivas更新于 10月21日 22:46

Perplexity 开源上下文嵌入模型

We’re open sourcing our state-of-the-art contextual embedding models, which perform best in turbopuffer’s context-bench.

AI 导读

我们正在开源我们最先进的上下文嵌入模型,它在 turbopuffer 的 context-bench 中表现最佳。

引用

Perplexity

@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

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We’re open sourcing our state-of-the-art contextual embedding models, which perform best in turbopuffer’s context-bench.

来源

Aravind Srinivas