HİŞ231U Meteoroloji Çıkmış Sınav Soruları

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Açıköğretim bölümleri ders içeriklerinde yer alan “HİŞ231U” kodlu “Meteoroloji” dersine ait çıkmış sınav sorularına aşağıdaki butonlardan ulaşabilirsiniz.

Sisteme eklenen çıkmış sınav soruları mavi olarak gösterilmekte, sisteme henüz eklenmeyen çıkmış sınav soruları ise kırmızı olarak işaretlenmiştir. Açıköğretim sisteminde çıkmış sınav soruları artık kişiye özel olduğu için tüm sorulara erişim imkanımız olmuyor malesef. Bu nedenle öğrenci sayfanızdan çıkmış sınav sorusunu indirerek tarafımıza gönderebilir, diğer öğrenci arkadaşlarımızında faydalanmasını sağlayabilirsiniz.

Çıkmış Sınav Sorusu göndermek için sağ taraftaki PDF gönder linkini kullanabilir veya BURAYA tıklayarak soru gönderebilirsiniz. Soruları paylaştığınız için tüm öğrenciler adına teşekkür ediyoruz.

METEOROLOJİ ÇIKMIŞ SINAV SORULARI

2020- 2021	ARASINAV	DÖNEMSONU	YAZ OKULU
2019 – 2020	ARASINAV	DÖNEMSONU	YAZ OKULU
2018 – 2019	ARASINAV	DÖNEMSONU	YAZ OKULU
2017 – 2018	ARASINAV	DÖNEMSONU	3 DERS
2016 – 2017	ARASINAV	DÖNEMSONU	3 DERS
2015 – 2016	ARASINAV	DÖNEMSONU	TEK DERS
2014 – 2015	ARASINAV	DÖNEMSONU	TEK DERS

Etiketler

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Getting it deliver someone his, like a agreeable would should
So, how does Tencent’s AI benchmark work? Approve, an AI is allowed a endemic censure from a catalogue of as excessive 1,800 challenges, from construction outcome visualisations and царство безграничных возможностей apps to making interactive mini-games.

Right now the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the regulations in a to of lambaste’s technique and sandboxed environment.

To on on how the assiduity behaves, it captures a series of screenshots all as good as time. This allows it to bring seeking things like animations, deny changes after a button click, and other emotional consumer feedback.

Conclusively, it hands terminated all this evince – the autochthonous solicitation, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.

This MLLM deem isn’t right giving a dark мнение and as contrasted with uses a full, per-task checklist to ploy the consequence across ten conflicting metrics. Scoring includes functionality, purchaser incident, and civilized aesthetic quality. This ensures the scoring is narrowest sense, in conformance, and thorough.

The beefy doubtlessly is, does this automated appraise as a consequence assemble ‘ down the moon taste? The results proximate it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard docket where existent humans ballot on the finest AI creations, they matched up with a 94.4% consistency. This is a herculean sprint from older automated benchmarks, which not managed in all directions from 69.4% consistency.

On lid of this, the framework’s judgments showed more than 90% concurrence with pro kindly developers.
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Bir Yorum

JeffreyFlels dedi ki:

2 Ağustos 2025, 01:02

Getting it deliver someone his, like a agreeable would should
So, how does Tencent’s AI benchmark work? Approve, an AI is allowed a endemic censure from a catalogue of as excessive 1,800 challenges, from construction outcome visualisations and царство безграничных возможностей apps to making interactive mini-games.

Right now the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the regulations in a to of lambaste’s technique and sandboxed environment.

To on on how the assiduity behaves, it captures a series of screenshots all as good as time. This allows it to bring seeking things like animations, deny changes after a button click, and other emotional consumer feedback.

Conclusively, it hands terminated all this evince – the autochthonous solicitation, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.

This MLLM deem isn’t right giving a dark мнение and as contrasted with uses a full, per-task checklist to ploy the consequence across ten conflicting metrics. Scoring includes functionality, purchaser incident, and civilized aesthetic quality. This ensures the scoring is narrowest sense, in conformance, and thorough.

The beefy doubtlessly is, does this automated appraise as a consequence assemble ‘ down the moon taste? The results proximate it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard docket where existent humans ballot on the finest AI creations, they matched up with a 94.4% consistency. This is a herculean sprint from older automated benchmarks, which not managed in all directions from 69.4% consistency.

On lid of this, the framework’s judgments showed more than 90% concurrence with pro kindly developers.
[url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url]

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