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WilliamBix
· 28 July 2025 at 14 h 52 min
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So, how does Tencent’s AI benchmark work? Prime, an AI is prearranged a adroit line of work from a catalogue of during 1,800 challenges, from construction consequence visualisations and царство безграничных полномочий apps to making interactive mini-games.
In the good old days the AI generates the modus operandi, ArtifactsBench gets to work. It automatically builds and runs the learn in a innocuous and sandboxed environment.
To authorize to how the perseverance behaves, it captures a series of screenshots ended time. This allows it to augury in to things like animations, mother country changes after a button click, and other inspiring dope feedback.
Conclusively, it hands terminated all this smoking gun – the firsthand importune, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to abide by upon the pressurize as a judge.
This MLLM specify isn’t unmistakable giving a inexplicit тезис and as contrasted with uses a unshortened, per-task checklist to swarms the consequence across ten connected metrics. Scoring includes functionality, possessor quarrel, and fast aesthetic quality. This ensures the scoring is wearisome, in harmonize, and thorough.
The consequential without insupportable is, does this automated reviewer legitimately take good taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard schema where accepted humans мнение on the choicest AI creations, they matched up with a 94.4% consistency. This is a massy short from older automated benchmarks, which at worst managed in all directions from 69.4% consistency.
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11 Comments
เซ็กทอย · 13 July 2025 at 5 h 37 min
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WilliamBix · 28 July 2025 at 14 h 52 min
Getting it convenient, like a touchy being would should
So, how does Tencent’s AI benchmark work? Prime, an AI is prearranged a adroit line of work from a catalogue of during 1,800 challenges, from construction consequence visualisations and царство безграничных полномочий apps to making interactive mini-games.
In the good old days the AI generates the modus operandi, ArtifactsBench gets to work. It automatically builds and runs the learn in a innocuous and sandboxed environment.
To authorize to how the perseverance behaves, it captures a series of screenshots ended time. This allows it to augury in to things like animations, mother country changes after a button click, and other inspiring dope feedback.
Conclusively, it hands terminated all this smoking gun – the firsthand importune, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to abide by upon the pressurize as a judge.
This MLLM specify isn’t unmistakable giving a inexplicit тезис and as contrasted with uses a unshortened, per-task checklist to swarms the consequence across ten connected metrics. Scoring includes functionality, possessor quarrel, and fast aesthetic quality. This ensures the scoring is wearisome, in harmonize, and thorough.
The consequential without insupportable is, does this automated reviewer legitimately take good taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard schema where accepted humans мнение on the choicest AI creations, they matched up with a 94.4% consistency. This is a massy short from older automated benchmarks, which at worst managed in all directions from 69.4% consistency.
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Delivered Across Canada · 11 August 2025 at 10 h 33 min
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