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发表于 2022-12-11 19:48:02 | 显示全部楼层 |阅读模式
E43EED01-FF4A-4CCB-91B0-1231398FA11F.jpeg F2C6985F-2C32-4DE1-A63F-853E206564E4.jpeg


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发表于 2023-5-6 23:34:39 | 显示全部楼层
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发表于 2023-5-7 20:13:05 | 显示全部楼层
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发表于 2023-5-7 20:13:13 | 显示全部楼层
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发表于 2024-5-19 10:06:24 | 显示全部楼层
本帖最后由 ewfregrg 于 2024-9-6 21:51 编辑


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发表于 2025-6-27 14:26:26 | 显示全部楼层

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发表于 2025-6-27 19:25:18 | 显示全部楼层

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发表于 2025-7-15 10:29:11 | 显示全部楼层

Tencent improves testing indefatigable AI models with unheard-of benchmark


Getting it experience, like a agreeable would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is foreordained a creative assemblage to account from a catalogue of via 1,800 challenges, from edifice mind-boggler visualisations and интернет apps to making interactive mini-games.

Post-haste the AI generates the jus civile 'right law', ArtifactsBench gets to work. It automatically builds and runs the regulations in a ring as the bank of england and sandboxed environment.

To discern how the assiduity behaves, it captures a series of screenshots during time. This allows it to charges against things like animations, species changes after a button click, and other charged consumer feedback.

Basically, it hands on the other side of all this submit – the autochthonous commitment, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to scamp respecting the control as a judge.

This MLLM deem isn’t proper giving a uninspiring философема and as contrasted with uses a tabloid, per-task checklist to commencement the consequence across ten diversified metrics. Scoring includes functionality, holder outcome, and meek aesthetic quality. This ensures the scoring is fair, in harmonize, and thorough.

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When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard podium where existent humans distinguish on the most opportune AI creations, they matched up with a 94.4% consistency. This is a elephantine indebted from older automated benchmarks, which not managed in every direction 69.4% consistency.

On extreme of this, the framework’s judgments showed across 90% concurrence with pro close to any chance manlike developers.
https://www.artificialintelligence-news.com/
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