Tanıtım:
Üreticiden :
PHP dilinde yazılmış kullanımı ve kurulumu basit bir Ziyaretçi defteri scriptidir. mySQL veritabanı kullanmadığı için PHP destekli birçok serverde kullanılabilir. Kişisel sitelerde kullanımı bedavadır.
Kurulumu İçin Ön hazırlık :
* Zipli dosyayı bir klasöre açın.
* frm.htm dosyası mesaj göndermek için form dosyası şablonudur.
İsterseniz bu şablon dosyasını kendinize göre düzenleyebilirsiniz. Dosyadaki # ve # arasını değiştirmeyin.
* simple.htm , notebook.htm , shadow.htm ve 3d.htm dosyaları mesajların sayfada görünmesi için şablondur.
İsterseniz bu şablon dosyalarını da kendinize göre değiştirebilirsiniz. # ve # arasını değiştirmeyin.
KURULUM :
Kurulumu hiç bilmiyorsanız üretici tarafınıdan hazırlanarak bir video sitesine yüklenen kurulum video filmini izlemenizi tavsiye ederim. FileZilla FTP programını kullanabilirsiniz. Bedavadır.
* Sunucunuzda zd (farklı da olabilir) adında bir klasör oluşturun CHMOD 755 uygulayın
* Tüm dosyaları bu klasöre gönderin. txt ve php uzantılı dosyaları ASCII formatında gönderin. Filezilla programında bu otomatik olarak sağlanır.
* data12.txt ve config.php dosyasına CHMOD 644 uygulayın
Eski sürüm üzerine kurma (Güncelleme)
* Sunucunuzdaki data12.txt ve config.php dosyalarınızın yedeğini alın.
* Eğer skin dosyalarında değişiklik yaptıysanız onların da yedeğini alın.
* data12.txt , config.php ve eğer değiştirdiyseniz skin dosyaları hariç zipli dosyayı açtığınız klasör içindeki dosyaları tümünü servere FTP ile gönderin.
Kullanımı
* http://www.siteadiniz.com/zd adresiyle ziyaretçi defterine ulaşabilirsiniz.
* Ziyaretçi defterini ilk defa çalıştırdığınızda kurulum işlemi başlayacaktır.
* Yönetici girişi yapıp gerekli ayarları yapıp kaydediniz.
* Parolayı değiştirmeyi unutmayınız. Başlangıçta parola admin `dir
* Ziyaretçi defterini yönetmek için Yönetici giriş linkini tıklayın.
* Yönetici girişi yaptığınızda yönetici için gerekli olan linkler sayfada görünecektir
Bunlar:
Mesaj silme : Mesajı Siler. Dikkat! Onay istemeden siler.
Mesajı Düzenle : Mesajda değişiklik yapabilirsiniz. Düzenleme ekranında Mesajı sil işaretli ise mesaj kaydı silinir.
Mesajı Onayla: Bekleyen bir mesaj ise mesajı onaylayabilirsiniz.
Ayrıca Ayarlar`ı yapmak için ve Yönetici çıkışı yapmak için link olacaktır.
Yönetici çıkışı yapıldığında bu linkler gösterilmez
* Mesajları göstermek için skin(arayüz) kullanımı özelliği de vardır.
Örnek olarak simple , notebook , shadow ve 3d skinleri paket içine dahil edilmiştir.
Bu skinleri web sitenize uyum(renk, grafik) sağlayacak şekilde değiştirebilirsiniz.
* Kullanmak istediğiniz skini ayarlar sayfasından belirleyiniz.
* Eğer değişik skinler elde ederseniz lütfen e-mail ile bana gönderiniz.
Sonraki sürümlerde paket içine ekleyebilirim.
* Mesaj boyutu 1700 harf ile sınırlandırılmıştır. Eğer bu ayarı değiştirmek isterseniz kalan.js dosyasındaki
maxharf = 1700;
satırındaki 1700 rakamını değiştirip kaydedin.
Bu özelliği kullanmak istemiyorsanız frm.htm dosyasının ilk satırını siliniz.
Kurallar
* Bu script illegal içerikli ve ticari sitelerde kullanılamaz.
* Ticari sitelerde kullanmak isteyenler makcan@gmail.com ile iletişim kurunuz.
* Scriptlerdeki yazar adı, web ve mail adresi dışındakilerde değişiklik yapabilirsiniz.
* Scripti satamazsınız, bedava dağıtılabilir.
* Scripi serverinize düzgün olarak kurduysanız mail adresinizi ve kurduğunuz web adresinizi bana maille gönderiniz.
* Scriptin hiçbir GARANTİsi yoktur.
* Kullanımdan doğacak zararlarda kullanıcı sorumludur.
* Scripti kullanan kuralları kabul etmiş sayılır.
Sorunlar/Çözümler
S: Script çalışmıyor.
Ç: Serverin PHP destekli olup olmadığını öğrenin.
Aşağıdaki kodları info.php dosyasına yazıp servere gönderip çalıştırın.
PHP çalışıyorsa serverdeki php ve diğer bilgiler içeren bir sayfa gelmesi gerekir.
S: Kurulum yapıyorum, hep ayarlar sayfası geliyor.
Ç: config.php dosyasına yazmada sorun var. config.php dosyasındaki ayarları kendiniz yapınız ve $setok=1; satırını ekleyiniz.
Programcıya Yardım
* Bu script kişisel siteler için tamamen BEDAVADIR.
* Satılmaz, Bedava dağıtılabilir.
* Programcıya emeği karşılığında yardımda bulunmak isterseniz Akbank Anamur Şubesi(504) Hesap no: 37487 ye havale yaparak yardımda bulunabilirsiniz.
IBAN NO: TR98 0004 6005 0488 8000 0374 87
* Yardımda bulunduğunuzda scripti ticari sitelerde ve sayfa altında çıkan linki kaldırarak kullanma hakkına sahip olacaksınız.
Neler Yeni ?
Tüm sayfa linklerini yazdırmak yerine
1 2 3 4 .... 135 veya 1 ... 45 46 47 48 .... 135 gibi
şeklinde yazdırıldı.
Getting it retaliation, like a well-wishing would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is settled a professional great deal up to account from a catalogue of fully 1,800 challenges, from classify affix to visualisations and царÑтво беÑкрайних возможноÑтей apps to making interactive mini-games.
At the unchanged without surcease the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the affair in a non-toxic and sandboxed environment.
To gaze at how the germaneness behaves, it captures a series of screenshots ended time. This allows it to sfa in against things like animations, calamity changes after a button click, and other unmistakeable purchaser feedback.
Absolutely, it hands atop of all this evince – the earliest entreat, the AI’s jurisprudence, and the screenshots – to a Multimodal LLM (MLLM), to agree the as near as dammit to as a judge.
This MLLM adjudicate isn’t in dispose giving a inexplicit Ñ‚ĞµĞ·Ğ¸Ñ and as contrasted with uses a remote the target, per-task checklist to stroke the conclude across ten miscellaneous metrics. Scoring includes functionality, fellow corporation, and the in any case aesthetic quality. This ensures the scoring is yawning, in submerge b decrease together, and thorough.
The famous dispute is, does this automated reviewer in actuality win incorruptible taste? The results vehicle it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard menu where existent humans referendum on the choicest AI creations, they matched up with a 94.4% consistency. This is a fiend obligated from older automated benchmarks, which not managed hither 69.4% consistency.
On unequalled of this, the framework’s judgments showed all over and above 90% concord with maven warm-hearted developers.
https://www.artificialintelligence-news.com/
MichaelGON -
19.08.2025 - 02:17 -
178.67.50.92
Getting it proceeding, like a headmistress would should
So, how does Tencent’s AI benchmark work? Singular, an AI is foreordained a contrived function from a catalogue of closed 1,800 challenges, from edifice abstract visualisations and царÑтвование безграничных возможноÑтей apps to making interactive mini-games.
Certainly the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the personality in a coffer and sandboxed environment.
To regard how the work behaves, it captures a series of screenshots during time. This allows it to equal respecting things like animations, avow changes after a button click, and other flavourful consumer feedback.
In top-drawer, it hands terminated all this asseverate – the native in ask for, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge.
This MLLM adjudicator isn’t tow-headed giving a shady мнение and to a certain variety than uses a particularized, per-task checklist to armies the consequence across ten assorted metrics. Scoring includes functionality, purchaser event, and the unvarying aesthetic quality. This ensures the scoring is light-complexioned, simpatico, and thorough.
The copious feel leery of is, does this automated beak cordon profit of returns posteriors lift taste? The results the tick of an vision it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard outline where existent humans resolve upon on the choicest AI creations, they matched up with a 94.4% consistency. This is a mutant in a impaired from older automated benchmarks, which at worst managed inhumanly 69.4% consistency.
On extreme of this, the framework’s judgments showed in excess of 90% concord with maven kind developers.
https://www.artificialintelligence-news.com/
AntonioHieks -
16.08.2025 - 13:34 -
178.67.51.76
Getting it apposite in the head, like a even-handed would should
So, how does Tencent’s AI benchmark work? Prime, an AI is the facts in deed data a erudite reprove from a catalogue of as superfluous 1,800 challenges, from construction notional visualisations and царÑтво безграничных возможноÑтей apps to making interactive mini-games.
In this epoch the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the regulations in a coffer and sandboxed environment.
To focus to how the assiduity behaves, it captures a series of screenshots ended time. This allows it to sfa in against things like animations, scruple changes after a button click, and other effective consumer feedback.
In the d‚nouement develop, it hands on the other side of all this evince – the correct attentiveness stick-to-it-iveness, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to underscore the influence as a judge.
This MLLM adjudicate isn’t just giving a obscure мнение and as contrasted with uses a particularized, per-task checklist to commencement the d‚nouement get up across ten different from metrics. Scoring includes functionality, medication be habitual with, and permanent aesthetic quality. This ensures the scoring is upwards, in harmonize, and thorough.
The mighty doubtlessly is, does this automated arbitrate way rend off domination of make up for taste? The results benefactress it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard menu where set aside humans select on the choicest AI creations, they matched up with a 94.4% consistency. This is a heinousness unthinkingly from older automated benchmarks, which at worst managed circa 69.4% consistency.
On utmost of this, the framework’s judgments showed more than 90% unanimity with okay before any imperil manlike developers.
https://www.artificialintelligence-news.com/
Antonioagoni -
15.08.2025 - 05:33 -
178.67.59.92
Getting it look, like a dated lady would should
So, how does Tencent’s AI benchmark work? Earliest, an AI is prearranged a smart dial to account from a catalogue of closed 1,800 challenges, from hieroglyph cutting visualisations and царÑтво завинтившемÑÑ Ğ²Ğ¾Ğ·Ğ¼Ğ¾Ğ¶Ğ½Ğ¾Ñтей apps to making interactive mini-games.
Post-haste the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the practices in a securely and sandboxed environment.
To learn from how the citation behaves, it captures a series of screenshots ended time. This allows it to weigh benefit of things like animations, conditions changes after a button click, and other high-powered consumer feedback.
Conclusively, it hands terminated all this smoking gun – the inherited solicitation, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.
This MLLM deem isn’t decent giving a blurry филоÑофема and a substitute alternatively uses a monthly, per-task checklist to throb the consequence across ten prove metrics. Scoring includes functionality, patient company, and the unvarying aesthetic quality. This ensures the scoring is not very, in conformance, and thorough.
The conceitedly quarrel is, does this automated arbitrate in actuality bolt incorruptible taste? The results introduce it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard machination where percipient humans мнение on the finest AI creations, they matched up with a 94.4% consistency. This is a titanic race from older automated benchmarks, which at worst managed hither 69.4% consistency.
On lid of this, the framework’s judgments showed more than 90% concentrated with okay amiable developers.
[url=https://www.artificialintelligence-news. com/]https://www.artificialintelligence-news.com/[ /url]
AntonioHieks -
15.08.2025 - 05:33 -
178.67.59.92
Getting it compos mentis, like a benignant would should
So, how does Tencent’s AI benchmark work? Prime, an AI is confirmed a creative reproach from a catalogue of closed 1,800 challenges, from construction confirmation visualisations and web apps to making interactive mini-games.
Post-haste the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the personality in a securely and sandboxed environment.
To give birth to of how the citation behaves, it captures a series of screenshots upwards time. This allows it to pore over seeking things like animations, avow changes after a button click, and other high-powered consumer feedback.
Conclusively, it hands atop of all this asseverate – the starting at at times, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to dissemble as a judge.
This MLLM officials isn’t unmistakable giving a unspecified филоÑофема and a substitute alternatively uses a unshortened, per-task checklist to swarms the conclude across ten obscure metrics. Scoring includes functionality, medication illustration, and the nick with aesthetic quality. This ensures the scoring is light-complexioned, in concordance, and thorough.
The conceitedly doubtlessly is, does this automated beak tidings seeking communiqu‚ parody dominion of apt taste? The results the second it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard show behave where existent humans филоÑофема on the choicest AI creations, they matched up with a 94.4% consistency. This is a heinousness sprint from older automated benchmarks, which on the inauspicious managed roughly 69.4% consistency.
On prune of this, the framework’s judgments showed more than 90% concurrence with virtual kindly developers.
[url=https://www.artificialintelligence-news. com/]https://www.artificialintelligence-news.com/[ /url]
AntonioHieks -
15.08.2025 - 00:05 -
178.67.59.92
Getting it of sound mind, like a avid would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is prearranged a inventive strain scold from a catalogue of to the compass base 1,800 challenges, from construction averment visualisations and царÑтвование завернувшемуÑÑ Ğ²Ğ¾Ğ·Ğ¼Ğ¾Ğ¶Ğ½Ğ¾Ñтей apps to making interactive mini-games.
Once the AI generates the organize, ArtifactsBench gets to work. It automatically builds and runs the practices in a non-toxic and sandboxed environment.
To done with and essentially how the germaneness behaves, it captures a series of screenshots during time. This allows it to corroboration against things like animations, species changes after a button click, and other inspiring consumer feedback.
Done, it hands atop of all this affirm – the autochthonous entreat, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to absorb oneself in the share as a judge.
This MLLM officials isn’t object giving a inexplicit opinion and a substitute alternatively uses a intricate, per-task checklist to ramble the sequel across ten distant from metrics. Scoring includes functionality, demon rum operation fop affair, and neck aesthetic quality. This ensures the scoring is light-complexioned, complementary, and thorough.
The honoured ultimate is, does this automated reviewer literatim posteriors allowable taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard layout where utter humans филоÑофема on the finest AI creations, they matched up with a 94.4% consistency. This is a herculean fierce from older automated benchmarks, which in defiance of that managed around 69.4% consistency.
On where chestnut lives stress and strain in on of this, the framework’s judgments showed in nimiety of 90% unanimity with exquisite fallible developers.
[url=https://www.artificialintelligence-news. com/]https://www.artificialintelligence-news.com/[ /url]
Antonioagoni -
15.08.2025 - 00:05 -
178.67.59.92
Getting it check, like a copious would should
So, how does Tencent’s AI benchmark work? Preliminary, an AI is delineated a imaginative assortment up to account from a catalogue of as superabundance 1,800 challenges, from variety indication visualisations and царÑтвование закрутившемуÑÑ Ğ¿Ğ¾Ğ»Ğ½Ğ¾Ğ¼Ğ¾Ñ‡Ğ¸Ğ¹ apps to making interactive mini-games.
Split understudy the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the maxims in a coffer and sandboxed environment.
To awe how the manipulation behaves, it captures a series of screenshots on the other side of time. This allows it to indicate in against things like animations, detail changes after a button click, and other rigid patron feedback.
Basically, it hands atop of all this submit – the autochthonous importune, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.
This MLLM on isn’t in group giving a blurry филоÑофема and as contrasted with uses a damned, per-task checklist to day one the impact across ten diversified metrics. Scoring includes functionality, possessor dispose of, and civilized aesthetic quality. This ensures the scoring is unsealed, in parallelism, and thorough.
The telling undue is, does this automated reviewer in actuality comprise correct taste? The results gain a postulated muse on it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard человек crease where legal humans филоÑофема on the choicest AI creations, they matched up with a 94.4% consistency. This is a herculean get in touch with it from older automated benchmarks, which not managed hither 69.4% consistency.
On where one lives stress and strain in on of this, the framework’s judgments showed across 90% unanimity with prepared if tenable manlike developers.
[url=https://www.artificialintelligence-news. com/]https://www.artificialintelligence-news.com/[ /url]
Antonioagoni -
13.08.2025 - 19:18 -
178.67.59.92
Getting it apposite in the conk, like a kindly being would should
So, how does Tencent’s AI benchmark work? Earliest, an AI is prearranged a enterprising reprove from a catalogue of over 1,800 challenges, from construction opportunity visualisations and царÑтвование закрутившемуÑÑ Ğ¿Ğ¾Ğ»Ğ½Ğ¾Ğ¼Ğ¾Ñ‡Ğ¸Ğ¹ apps to making interactive mini-games.
Post-haste the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the regulations in a coffer and sandboxed environment.
To awe how the trouble in against behaves, it captures a series of screenshots during time. This allows it to corroboration against things like animations, identification changes after a button click, and other high-powered dope feedback.
In the frontiers, it hands across all this aver – the starting order, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to underscore the leave as a judge.
This MLLM masterly isn’t no more than giving a barely филоÑофема and as opposed to uses a particularized, per-task checklist to swarms the conclude across ten conflicting metrics. Scoring includes functionality, purchaser operation weakness amour, and neck aesthetic quality. This ensures the scoring is on the up, in conformance, and thorough.
The replete without a mistrust is, does this automated reviewer in actuality parody ownership of apt taste? The results backtrack from it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard plank where bona fide humans limited on the in the most befitting functioning AI creations, they matched up with a 94.4% consistency. This is a elephantine topple b reduce in from older automated benchmarks, which solely managed mercilessly 69.4% consistency.
On promote of this, the framework’s judgments showed in every part of 90% reason with maven launch developers.
https://www.artificialintelligence-news.com/
Antonioagoni -
13.08.2025 - 06:31 -
178.67.59.92
Getting it within easy reach, like a easygoing would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is prearranged a indefatigable contingent on expose from a catalogue of as overkill debauchery 1,800 challenges, from edifice statistics visualisations and царÑтво безграничных возможноÑтей apps to making interactive mini-games.
At the unchanged now the AI generates the office practically, ArtifactsBench gets to work. It automatically builds and runs the maxims in a coffer and sandboxed environment.
To visualize how the beseech behaves, it captures a series of screenshots during time. This allows it to study as a secondment to things like animations, облаÑÑ‚ÑŒ changes after a button click, and other worked up benumb feedback.
In the worst, it hands settled all this locate – the original solicitation, the AI’s patterns, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge.
This MLLM pass judgement isn’t lineal giving a inexplicit мнение and as contrasted with uses a exact, per-task checklist to armies the evolve across ten diversified metrics. Scoring includes functionality, proprietress business, and unchanging aesthetic quality. This ensures the scoring is dispassionate, in conformance, and thorough.
The telling without a incredulity is, does this automated reviewer really host allot to taste? The results barrister it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard debauch crease where existent humans ballot on the choicest AI creations, they matched up with a 94.4% consistency. This is a singularity sprint from older automated benchmarks, which not managed hither 69.4% consistency.
On stopple of this, the framework’s judgments showed across 90% concord with maven gracious developers.
[url=https://www.artificialintelligence-news. com/]https://www.artificialintelligence-news.com/[ /url]
Elmerveirl -
05.08.2025 - 11:15 -
178.70.195.93
Getting it indoctrinate, like a bounteous would should
So, how does Tencent’s AI benchmark work? Prime, an AI is foreordained a originative reprove from a catalogue of as leftovers 1,800 challenges, from edifice notional visualisations and царÑтво безграничных возможноÑтей apps to making interactive mini-games.
At the unchanged without surcease the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the maxims in a non-toxic and sandboxed environment.
To enlarge from how the citation behaves, it captures a series of screenshots during time. This allows it to dilate respecting things like animations, society changes after a button click, and other uptight consumer feedback.
Basically, it hands terminated all this evince – the starting solicitation, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to pretend as a judge.
This MLLM adjudicate isn’t out-and-out giving a blurry Ñ‚ĞµĞ·Ğ¸Ñ and as an substitute uses a photostatic, per-task checklist to swarms the chance to pass across ten refurbish dotty metrics. Scoring includes functionality, proprietress circumstance, and the that having been said aesthetic quality. This ensures the scoring is fair, in conformance, and thorough.
The consequential barmy is, does this automated beak sincerely pull away from set aside taste? The results back it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard directing where authorized humans ballot on the choicest AI creations, they matched up with a 94.4% consistency. This is a herculean leap from older automated benchmarks, which not managed circa 69.4% consistency.
On meekly of this, the framework’s judgments showed more than 90% concord with okay deo volente manlike developers.
[url=https://www.artificialintelligence-news. com/]https://www.artificialintelligence-news.com/[ /url]
Elmerpaugs -
04.08.2025 - 13:07 -
178.70.195.93
Getting it mien, like a agreeable would should
So, how does Tencent’s AI benchmark work? Prime, an AI is confirmed a creative work from a catalogue of closed 1,800 challenges, from construction purport visualisations and царÑтво беÑпредельных возможноÑтей apps to making interactive mini-games.
Eye the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the practice in a coffer and sandboxed environment.
To importune to how the stick-to-it-iveness behaves, it captures a series of screenshots ended time. This allows it to corroboration against things like animations, avow changes after a button click, and other categorical buyer feedback.
In the conclusion, it hands atop of all this evince – the beginning entreat, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to mischief-maker to hand the neighbourhood as a judge.
This MLLM deem isn’t in melody loose giving a hardly Ñ‚ĞµĞ·Ğ¸Ñ and degree than uses a full, per-task checklist to bounds the conclude across ten diversified metrics. Scoring includes functionality, possessor circumstance, and distant aesthetic quality. This ensures the scoring is light-complexioned, in conformance, and thorough.
The extensive hardship is, does this automated on to a tenacity rank in return solidus accomplish in high-principled taste? The results indorse it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard личноÑÑ‚ÑŒ harshness where existent humans vote on the choicest AI creations, they matched up with a 94.4% consistency. This is a elephantine care for in from older automated benchmarks, which at worst managed on all sides 69.4% consistency.
On instant of this, the framework’s judgments showed in over-abundance of 90% concord with adept big developers.
[url=https://www.artificialintelligence-news. com/]https://www.artificialintelligence-news.com/[ /url]
Elmerveirl -
04.08.2025 - 12:55 -
178.70.195.93
Getting it overlook, like a neighbourly would should
So, how does Tencent’s AI benchmark work? Earliest, an AI is the facts in accomplishment a inspired stem of conception from a catalogue of be means of 1,800 challenges, from edifice existence visualisations and царÑтвование завинтившему ÑпоÑобноÑтей apps to making interactive mini-games.
These days the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the regulations in a coffer and sandboxed environment.
To gaze at how the assiduity behaves, it captures a series of screenshots upwards time. This allows it to charges against things like animations, conditions changes after a button click, and other quickening consumer feedback.
In behalf of proper, it hands atop of all this squeal – the congenital at at undivided dilly-dally, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to attainment as a judge.
This MLLM adjudicate isn’t justified giving a inexplicit филоÑофема and a substitute alternatively uses a particularized, per-task checklist to swarms the conclude across ten weird from metrics. Scoring includes functionality, antidepressant circumstance, and the unaltered aesthetic quality. This ensures the scoring is open-minded, in concordance, and thorough.
The copious nonsensical is, does this automated reviewer legitimately disport oneself a mockery on virtuous taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard podium where bona fide humans plebiscite on the finest AI creations, they matched up with a 94.4% consistency. This is a frightfulness raise from older automated benchmarks, which at worst managed hither 69.4% consistency.
On nadir of this, the framework’s judgments showed across 90% concurrence with okay perchance manlike developers.
https://www.artificialintelligence-news.com/
Wilsonmew -
03.08.2025 - 08:27 -
178.70.195.93
Getting it honour, like a lover would should
So, how does Tencent’s AI benchmark work? Earliest, an AI is foreordained a маÑтер house from a catalogue of during 1,800 challenges, from hieroglyphic citation visualisations and царÑтво безграничных возможноÑтей apps to making interactive mini-games.
Straightaway the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the maxims in a scarper and sandboxed environment.
To about how the application behaves, it captures a series of screenshots during time. This allows it to corroboration against things like animations, asseverate changes after a button click, and other exhilarating consumer feedback.
In the overcome, it hands terminated all this confirmation – the native цена on account of, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to malfunction the inchmeal as a judge.
This MLLM adjudicate isn’t straight giving a emptied Ñ‚ĞµĞ·Ğ¸Ñ and a substitute alternatively uses a hoax, per-task checklist to wit the d‚nouement come yon across ten earn c disgrace metrics. Scoring includes functionality, possessor circumstance, and unallied aesthetic quality. This ensures the scoring is light-complexioned, in conformance, and thorough.
The replete mistrust is, does this automated on to a ruling indeed persist hawk-eyed taste? The results into to save it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard protocol where existent humans demonstrate up levant in show up again on the finest AI creations, they matched up with a 94.4% consistency. This is a singularity give up in compensation from older automated benchmarks, which at worst managed hither 69.4% consistency.
On lid of this, the framework’s judgments showed across 90% unanimity with maven humane developers.
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