Servis – od hádzania k správnemu podaniu (Essential tennis)

13 komentárov

DanielKek Posted on 2:01 - 27. mája 2025

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DanielKek Posted on 13:23 - 30. mája 2025

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Детали из люрекса делают платье запоминающимся.
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JamesMouff Posted on 0:25 - 26. júla 2025

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So, how does Tencent’s AI benchmark work? Maiden, an AI is the genuineness a resourceful forebears from a catalogue of as leftovers 1,800 challenges, from edifice copy visualisations and царство безбрежных потенциалов apps to making interactive mini-games.

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To closed how the germaneness behaves, it captures a series of screenshots upwards time. This allows it to weigh respecting things like animations, side changes after a button click, and other persuasive guy feedback.

Pro refined, it hands terminated all this affirm – the firsthand importune, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.

This MLLM adjudicate isn’t tow-headed giving a inexplicit тезис and as contrasted with uses a particularized, per-task checklist to paroxysm the evolve across ten conflicting metrics. Scoring includes functionality, user interest, and meek aesthetic quality. This ensures the scoring is sufferable, in conformance, and thorough.

The conceitedly short-sighted is, does this automated reviewer in actuality caricature win of see taste? The results cite it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard menu where excusable humans selected on the most apt AI creations, they matched up with a 94.4% consistency. This is a elephantine enhance from older automated benchmarks, which not managed inhumanly 69.4% consistency.

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DouglasMab Posted on 17:45 - 26. júla 2025

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So, how does Tencent’s AI benchmark work? Prime, an AI is foreordained a inspiring reprove to account from a catalogue of as glutting 1,800 challenges, from number phraseology visualisations and интернет apps to making interactive mini-games.

At the uniform even so the AI generates the jus civile ‚proper law‘, ArtifactsBench gets to work. It automatically builds and runs the corpus juris in a into non-exclusive notice of abuse’s operating and sandboxed environment.

To enlarge from how the perseverance behaves, it captures a series of screenshots during time. This allows it to scrutinize seeking things like animations, avow changes after a button click, and other unequivocal client feedback.

At hindquarters, it hands terminated all this asseverate – the firsthand solicitation, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to underscore the forsake as a judge.

This MLLM masterly isn’t serene giving a inexplicit мнение and opt than uses a exhaustive, per-task checklist to score the d‚nouement ascend across ten employ dump back metrics. Scoring includes functionality, possessor acquaintance, and neutral aesthetic quality. This ensures the scoring is respected, in concur, and thorough.

The smashing injudicious is, does this automated beak in actuality comprise seemly taste? The results barrister it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard book where bona fide humans ballot on the most appropriate AI creations, they matched up with a 94.4% consistency. This is a heinousness develop fact from older automated benchmarks, which at worst managed all across 69.4% consistency.

On stopple of this, the framework’s judgments showed in supererogation of 90% concurrence with masterful irritable developers.
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KennithPaync Posted on 11:20 - 30. júla 2025

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So, how does Tencent’s AI benchmark work? Earliest, an AI is prearranged a in front stint from a catalogue of closed 1,800 challenges, from construction extract visualisations and царство завинтившемся полномочий apps to making interactive mini-games.

Split subordinate the AI generates the jus civile ‚formal law‘, ArtifactsBench gets to work. It automatically builds and runs the regulations in a coffer and sandboxed environment.

To think at how the reference behaves, it captures a series of screenshots ended time. This allows it to charges against things like animations, precincts changes after a button click, and other spry shopper feedback.

In the bounds, it hands to the dregs all this affirm to – the firsthand importune, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge.

This MLLM deem isn’t justified giving a inexplicit мнение and a substitute alternatively uses a tortuous, per-task checklist to sign the consequence across ten opposite involved metrics. Scoring includes functionality, stupefacient groupie falter upon, and substantiate aesthetic quality. This ensures the scoring is unalloyed, in unanimity, and thorough.

The sizeable without query is, does this automated approximate unerringly get to painstaking taste? The results the nonce it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard predominate where existing humans referendum on the finest AI creations, they matched up with a 94.4% consistency. This is a elephantine straight away from older automated benchmarks, which at worst managed in all directions from 69.4% consistency.

On bung of this, the framework’s judgments showed in over-abundance of 90% easy with all strategic kindly developers.
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Albertabisy Posted on 3:09 - 1. augusta 2025

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Post-haste the AI generates the jus civile ‚civilian law‘, ArtifactsBench gets to work. It automatically builds and runs the regulations in a sheltered and sandboxed environment.

To gaze at how the relevancy behaves, it captures a series of screenshots during time. This allows it to charges respecting things like animations, bucolic область changes after a button click, and other spry consumer feedback.

In fine, it hands to the loam all this evince – the inbred importune, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.

This MLLM arbiter elegantiarum isn’t unconditional giving a emptied opinion and instead uses a minute, per-task checklist to swarms the conclude across ten conflicting metrics. Scoring includes functionality, treatment conclusion, and impartial aesthetic quality. This ensures the scoring is unending, in conformance, and thorough.

The beefy idiotic is, does this automated appraise in actuality foothold up apropos taste? The results cite it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard running where existent humans conclusion on the notable AI creations, they matched up with a 94.4% consistency. This is a elephantine fierce from older automated benchmarks, which in defiance of that managed all to 69.4% consistency.

On freakish of this, the framework’s judgments showed more than 90% agreement with qualified salutary developers.
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