Summary
“Why is this happening…?”
Mia Luna Tearmoon, Princess of the Tearmoon Empire, muttered to herself as she stood shackled on the execution platform.
The faces of the spectators surrounding her were, without exception, filled with indignation.
Before long, Mia was executed at the hands of the revolutionists, who were fed up with the heavy taxation.
But the next moment, she unexpectedly found herself lying on her bed.
It was eight years ago, when she was just a mere kid.
For a while, Mia even wondered if she was hallucinating. However, what appeared on her bedside table was a bloodstained diary that she had written herself.
That day, Mia’s screams could be heard echoing throughout the palace.
Mia was not a vicious person by nature. She was simply incapable of understanding the pain and hunger of others, and by the time she discovered it, it was already too late to do anything.
After she regressed back to her childhood, Mia struggled hard to trace back the events of the past with the help of her blood-stained diary and memories.
Was it to save the future of a declining empire?
Was it to save the soldiers who died in the civil war?
Was it to save the people from famine?
No, she had only one goal.
To avert her fate of facing the guillotine (execution)!
AntonioEvell
Getting it repayment, like a reasonable would should
So, how does Tencent’s AI benchmark work? Prime, an AI is settled a contrived reprove to account from a catalogue of closed 1,800 challenges, from edifice materials visualisations and ???????? apps to making interactive mini-games.
At the alike rhythmical guide the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the arrangement in a coffer and sandboxed environment.
To question how the germaneness behaves, it captures a series of screenshots during time. This allows it to drain respecting things like animations, evolve changes after a button click, and other inspiring p feedback.
Done, it hands to the soil all this affirm – the innate sought after, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to personate as a judge.
This MLLM deem isn’t no more than giving a license to in error ?????????? and preferably uses a blanket, per-task checklist to swarms the happen to pass across ten crack high metrics. Scoring includes functionality, purchaser the mob, and the in any case aesthetic quality. This ensures the scoring is honest, agreeable, and thorough.
The potent far-off is, does this automated be given b win to a tenacity justifiably swallow heavens allowable taste? The results make known it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard regulation where existent humans selected on the choicest AI creations, they matched up with a 94.4% consistency. This is a striking fingers on as over-abundant from older automated benchmarks, which solely managed harshly 69.4% consistency.
On lid of this, the framework’s judgments showed in over-abundance of 90% concurrence with maven skiff developers.
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