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Aravind Srinivas· @AravSrinivas · X·· 2 小时前AI 评分32
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Perplexity 在 Hugging Face Decision Index(决策模型基准)上夺冠。我们的模型是开放权重的,所有人都可以使用! @perplexitydevs:pplx-decider-v1.1-27b,我们更新后的开放权重多模态决策模型,现已可用。 它在新版 @huggingface Decision Index 0.3 基准上得分最高。pplx-decider-v1.1-27b 的成本是 v1 的一半,每百万输入 token 仅 $0.02。 https://huggingface.co/spaces/multimodalart/jev-decision-index

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Perplexity wins on Hugging Face Decision Index (benchmark for decision models). Our model is open-weights and accessible to all!

引用Perplexity Developers@perplexitydevs
pplx-decider-v1.1-27b, our updated open weights multimodal decision model, is now available. It scores the highest on the new @huggingface Decision Index 0.3 benchmark. pplx-decider-v1.1-27b costs half as much as v1, at $0.02 per million input tokens. https://huggingface.co/spaces/multimodalart/jev-decision-index
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来源:Aravind Srinivas · x.com