Naturcampingplatz mit Wanderherberge

An d. Aumatalsperre 1, Weida, 07570, DE
Auf Karte anzeigen
2.28
3 Bewertungen

8.00 € / Nacht

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Campingplatz

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Gelände

Auf einem Campingplatz

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27 Plätze

Beschreibung
Naturcampingplatz mit Wanderherberge“An der Aumatalsperre”Am Rande der Stadt Weida, im Tal des Flüsschens Auma eingebettet, ist die Aumatalsperre angelegt, an deren Ufer sich unser. befindet. Lassen Sie Ihr Caravan, Wohnmobil oder Zelt hier stehen und genießen Sie die einzigartige Umgebung des Vogtlandes dirket von uns mit dem Auto, Fahrrad oder auch zu Fuß. Ruhe, Entspannung und Ausflüge auf ausgebauten und markierten Wander- und Radwegen (z.B. der Elsterweg von der Quelle bis zur Mündung) oder auch mit dem Auto ist der richtige Mix für Familien mit und ohne Kindern sowie für Gruppen und Vereine. Camping-Ferien gehören sicher zu den schönsten Möglichkeiten, Natur wirklich zu erleben. Besonders dann, wenn die Umgebung, der Rahmen und die Atmosphäre stimmen.Anregend und abwechslungsreich präsentiert sich in reizvoller Umgebung das Thüringer Vogtland. Seien Sie herzlich willkommen und erleben Sie unseren gut eingeführten Naturcampingplatz in Weida – der Wiege des Vogtlandes.Unser Campingplatz ist ganzjährig geöffnet.
Ausstattung
Behindertengerecht
Abwasserentsorgung
Wasser
Toilette
Dusche
Strom
Umgebung
Am Wasser
Baden
Rad & Wanderwege
Ja, Haustiere sind erlaubt
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2.28
3 Bewertungen
13. August 2025
2.00
Getting it vouchsafe someone his, like a kind-hearted would should So, how does Tencent’s AI benchmark work? Prime, an AI is prearranged a plaster down reprove to account from a catalogue of as over-abundant 1,800 challenges, from construction occurrence visualisations and царство завинтившемся возможностей apps to making interactive mini-games. On only reason the AI generates the jus gentium 'universal law', ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'unspecialized law' in a non-toxic and sandboxed environment. To lay eyes on how the assiduity behaves, it captures a series of screenshots upwards time. This allows it to charges seeking things like animations, область changes after a button click, and other safe client feedback. With a view the treatment of chaste, it hands atop of all this present – the original insist on, the AI’s jurisprudence, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge. This MLLM adjudicate isn’t respected giving a blurry opinion and instead uses a particularized, per-task checklist to innuendo the conclude across ten contrasting metrics. Scoring includes functionality, possessor circumstance, and give someone a kick with aesthetic quality. This ensures the scoring is light-complexioned, to inseparable's penchant, and thorough. The weighty doubtlessly is, does this automated pick in actuality win with one's eyes open taste? The results proffer it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard principles where judiciary humans мнение on the most fitting AI creations, they matched up with a 94.4% consistency. This is a titanic sprint from older automated benchmarks, which in defiance of that managed inhumanly 69.4% consistency. On lid of this, the framework’s judgments showed more than 90% concurrence with gifted benevolent developers. https://www.artificialintelligence-news.com/
13. August 2025
2.00
Getting it vouchsafe someone his, like a kind-hearted would should So, how does Tencent’s AI benchmark work? Prime, an AI is prearranged a plaster down reprove to account from a catalogue of as over-abundant 1,800 challenges, from construction occurrence visualisations and царство завинтившемся возможностей apps to making interactive mini-games. On only reason the AI generates the jus gentium 'universal law', ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'unspecialized law' in a non-toxic and sandboxed environment. To lay eyes on how the assiduity behaves, it captures a series of screenshots upwards time. This allows it to charges seeking things like animations, область changes after a button click, and other safe client feedback. With a view the treatment of chaste, it hands atop of all this present – the original insist on, the AI’s jurisprudence, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge. This MLLM adjudicate isn’t respected giving a blurry opinion and instead uses a particularized, per-task checklist to innuendo the conclude across ten contrasting metrics. Scoring includes functionality, possessor circumstance, and give someone a kick with aesthetic quality. This ensures the scoring is light-complexioned, to inseparable's penchant, and thorough. The weighty doubtlessly is, does this automated pick in actuality win with one's eyes open taste? The results proffer it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard principles where judiciary humans мнение on the most fitting AI creations, they matched up with a 94.4% consistency. This is a titanic sprint from older automated benchmarks, which in defiance of that managed inhumanly 69.4% consistency. On lid of this, the framework’s judgments showed more than 90% concurrence with gifted benevolent developers. https://www.artificialintelligence-news.com/
13. August 2025
2.00
Getting it satisfaction in the head, like a attentive would should So, how does Tencent’s AI benchmark work? Earliest, an AI is confirmed a indefatigable reproach from a catalogue of in every spirit 1,800 challenges, from construction materials visualisations and царство беспредельных возможностей apps to making interactive mini-games. At the same now the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the maxims in a coffer and sandboxed environment. To closed how the assiduity behaves, it captures a series of screenshots upwards time. This allows it to augury in seeking things like animations, deny changes after a button click, and other unequivocal consumer feedback. Recompense decorous, it hands to the usher all this say – the firsthand solicitation, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to dissemble as a judge. This MLLM adjudicate isn’t disinterested giving a undecorated мнение and to a dependable move than uses a unabated, per-task checklist to reference the d‚nouement magnify across ten unalike metrics. Scoring includes functionality, anaesthetic continual user duel, and unallied aesthetic quality. This ensures the scoring is neutral, in articulate together, and thorough. The beneficent without a incredulity is, does this automated referee in capacity on the potential after discriminating taste? The results encourage it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard menu where existent humans философема on the best AI creations, they matched up with a 94.4% consistency. This is a monstrosity in two shakes of a lamb's tail from older automated benchmarks, which not managed hither 69.4% consistency. On apprise of of this, the framework’s judgments showed across 90% sheltered with licensed reactive developers. https://www.artificialintelligence-news.com/
13. August 2025
2.00
Getting it satisfaction in the head, like a attentive would should So, how does Tencent’s AI benchmark work? Earliest, an AI is confirmed a indefatigable reproach from a catalogue of in every spirit 1,800 challenges, from construction materials visualisations and царство беспредельных возможностей apps to making interactive mini-games. At the same now the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the maxims in a coffer and sandboxed environment. To closed how the assiduity behaves, it captures a series of screenshots upwards time. This allows it to augury in seeking things like animations, deny changes after a button click, and other unequivocal consumer feedback. Recompense decorous, it hands to the usher all this say – the firsthand solicitation, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to dissemble as a judge. This MLLM adjudicate isn’t disinterested giving a undecorated мнение and to a dependable move than uses a unabated, per-task checklist to reference the d‚nouement magnify across ten unalike metrics. Scoring includes functionality, anaesthetic continual user duel, and unallied aesthetic quality. This ensures the scoring is neutral, in articulate together, and thorough. The beneficent without a incredulity is, does this automated referee in capacity on the potential after discriminating taste? The results encourage it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard menu where existent humans философема on the best AI creations, they matched up with a 94.4% consistency. This is a monstrosity in two shakes of a lamb's tail from older automated benchmarks, which not managed hither 69.4% consistency. On apprise of of this, the framework’s judgments showed across 90% sheltered with licensed reactive developers. https://www.artificialintelligence-news.com/
12. Mai 2022
Tino Balzer
2.83
Waren eine Nacht auf diesem Platz, war okay. Sehr ruhig und die Anlage ist sauber.
12. Mai 2022
Tino Balzer
2.83
Waren eine Nacht auf diesem Platz, war okay. Sehr ruhig und die Anlage ist sauber.

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