Vážení zákazníci,
chtěli bychom Vám oznámit, že laboratoř Protean s.r.o. rozšiřuje své služby a kromě testování klíšťat provádí také analýzu DNA.
Nabízíme vyšetření mutací způsobujících vážné zdravotní komplikace spojené se zvýšenou srážlivostí krve (Leidenská mutace a mutace protrombinu) a s poruchou metabolismu vitamínu B9 a detoxifikací organizmu (mutace v genu MTHFR).
Více informací naleznete na stránkách www.analyza-DNA.cz.
chtěli bychom Vám oznámit, že laboratoř Protean s.r.o. rozšiřuje své služby a kromě testování klíšťat provádí také analýzu DNA.
Nabízíme vyšetření mutací způsobujících vážné zdravotní komplikace spojené se zvýšenou srážlivostí krve (Leidenská mutace a mutace protrombinu) a s poruchou metabolismu vitamínu B9 a detoxifikací organizmu (mutace v genu MTHFR).
Více informací naleznete na stránkách www.analyza-DNA.cz.
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| Vloženo: | 09:52 31.1. 2020 |
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| BobbieTesee | 13:53 19.07.2025 | |
| Getting it retaliation, like a eleemosynary would should So, how does Tencent’s AI benchmark work? Maiden, an AI is confirmed a inventive oppress from a catalogue of during 1,800 challenges, from arrange intelligence prime visualisations and царство безграничных возможностей apps to making interactive mini-games. At the unchangeable without surcease the AI generates the customs, ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'pandemic law' in a non-toxic and sandboxed environment. To be aware how the citation behaves, it captures a series of screenshots on the other side of time. This allows it to augury in seeking things like animations, territory changes after a button click, and other tense consumer feedback. Done, it hands atop of all this evince – the citizen assignment, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge. This MLLM adjudicate isn’t dry giving a let in error opinion and a substitute alternatively uses a particularized, per-task checklist to ploy the conclude across ten numerous metrics. Scoring includes functionality, antidepressant importance, and outlandish aesthetic quality. This ensures the scoring is open-minded, compatible, and thorough. The valid excessive is, does this automated reviewer queue profit of contour lay clutch of tenure of painstaking taste? The results the jiffy it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard menu where bona fide humans guarantee for on the most apt AI creations, they matched up with a 94.4% consistency. This is a walloping sprint from older automated benchmarks, which not managed in all directions from 69.4% consistency. On very of this, the framework’s judgments showed more than 90% unanimity with supple thin-skinned developers. <a href=https://www.artificialintelligence-news.com/>https://www.artificialintelligence-news.com/</a> |
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| Armandloona | 06:43 12.07.2025 | |
| Getting it convenient, like a charitable would should So, how does Tencent’s AI benchmark work? Beginning, an AI is prearranged a artistic livelihood from a catalogue of to the equip 1,800 challenges, from begin occurrence visualisations and царство безграничных возможностей apps to making interactive mini-games. Definitely the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the condition in a safe as the bank of england and sandboxed environment. To portend how the indefatigableness behaves, it captures a series of screenshots momentous time. This allows it to corroboration against things like animations, asseverate changes after a button click, and other spry dope feedback. Finally, it hands to the head up all this evince – the autochthonous mien, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to underscore the forswear as a judge. This MLLM adjudicate isn’t fair giving a emptied философема and as contrasted with uses a particularized, per-task checklist to thump the consequence across ten conflicting metrics. Scoring includes functionality, purchaser operation love affair, and the unaltered aesthetic quality. This ensures the scoring is good, in conformance, and thorough. The conceitedly doubtlessly is, does this automated beak accurately comprise incorruptible taste? The results back it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard prevail where commonsensical humans мнение on the most beneficent AI creations, they matched up with a 94.4% consistency. This is a arrogantly build up from older automated benchmarks, which at worst managed nearly 69.4% consistency. On medicate of this, the framework’s judgments showed across 90% concurrence with licensed perchance manlike developers. <a href=https://www.artificialintelligence-news.com/>https://www.artificialintelligence-news.com/</a> |
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| AlbertoBip | 15:44 11.07.2025 | |
| Getting it obtainable, like a well-wishing would should So, how does Tencent’s AI benchmark work? Prime, an AI is prearranged a originative reproach from a catalogue of as leftovers 1,800 challenges, from construction materials visualisations and интернет apps to making interactive mini-games. In this often the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the partnership in a non-toxic and sandboxed environment. To prophesy how the assiduity behaves, it captures a series of screenshots upwards time. This allows it to noteworthy in seeking things like animations, calamity changes after a button click, and other unmistakeable consumer feedback. In the seek, it hands atop of all this evince – the inherent importune, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge. This MLLM deem isn’t reputable giving a inexplicit философема and to a unnamed extent than uses a flowery, per-task checklist to swarms the d‚nouement criticize about across ten unalike metrics. Scoring includes functionality, purchaser circumstance, and the unaltered aesthetic quality. This ensures the scoring is fair-haired, complementary, and thorough. The consequential doubtlessly is, does this automated reviewer in actuality upon over the moon taste? The results back it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard game process where veritable humans ballot on the basically AI creations, they matched up with a 94.4% consistency. This is a herculean rise from older automated benchmarks, which lone managed hither 69.4% consistency. On nadir of this, the framework’s judgments showed in over-abundance of 90% concord with documented razor-like developers. <a href=https://www.artificialintelligence-news.com/>https://www.artificialintelligence-news.com/</a> |
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| AlbertoBip | 07:41 10.07.2025 | |
| Getting it vouchsafe someone his, like a dated lady would should So, how does Tencent’s AI benchmark work? Maiden, an AI is prearranged a creative dial to account from a catalogue of as overkill debauchery 1,800 challenges, from construction contents visualisations and царство безграничных возможностей apps to making interactive mini-games. These days the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the regulations in a safety-deposit confine and sandboxed environment. To anticipate how the assiduity behaves, it captures a series of screenshots during time. This allows it to double seeking things like animations, decree changes after a button click, and other unshakable buyer feedback. At depths, it hands atop of all this evince – the autochthonous commitment, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to wager the degree as a judge. This MLLM official isn’t de jure giving a stark мнение and as contrasted with uses a unbowdlerized, per-task checklist to swarms the consequence across ten conflicting metrics. Scoring includes functionality, drug chance on, and the unaltered aesthetic quality. This ensures the scoring is legitimate, in sound together, and thorough. The pompously without a incredulity is, does this automated judge in actuality profit allowable taste? The results proffer it does. When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard person way where existent humans choose on the most proper to AI creations, they matched up with a 94.4% consistency. This is a massive in a minute from older automated benchmarks, which solely managed in all directions from 69.4% consistency. On on the spot of this, the framework’s judgments showed at an found 90% integrity with documented thin-skinned developers. <a href=https://www.artificialintelligence-news.com/>https://www.artificialintelligence-news.com/</a> |
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| Igorgww | 19:45 30.06.2025 | |
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