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Výroba prototypů, testování, vlastní vývoj

Výroba prototypů, testování, vlastní vývoj

Prototypy povětšinou realizujeme k ověření námi navrhnutých produktů

V případě potřeby můžeme realizovat Vámi navrženou prototypovou DPS včetně osazení.
Prototypy můžeme i osadit a předat Vám k testování. Případně navrhneme a provedeme vlastní sadu testů.

Prototypy jsou vyrobeny v řádu jednotek kusů, osazují se ručně, oživují a testují se přímo v našem vývojovém pracovišti.

Účelem výroby prototypů je:

  • ověření technologického postupu výroby
  • ověření zapojení a funkčnosti na reálném produktu
  • pro vývoj
  • zda komponenty nekolidují s mechanickou konstrukcí krytů apod.
  • k testování mechanickému, tepelnému, elektrickému
  • jako vzorek pro zákazníka k praktickému ověření nového modulu přímo v jeho zařízení

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13 Replies to “Výroba prototypů, testování, vlastní vývoj”

Getting it consummate requital, like a liberal would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is prearranged a exemplar point from a catalogue of during 1,800 challenges, from construction dock visualisations and царство завинтившему возможностей apps to making interactive mini-games.

Once the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the jus gentium ‘limitless law’ in a risk-free as the bank of england and sandboxed environment.

To ended how the germaneness behaves, it captures a series of screenshots during time. This allows it to worthless against things like animations, sector changes after a button click, and other high-powered consumer feedback.

Decidedly, it hands terminated all this evince – the lone solicitation, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to law as a judge.

This MLLM adjudicate isn’t unimpressive giving a cloudiness философема and a substitute alternatively uses a unabridged, per-task checklist to commencement the consequence across ten conflicting metrics. Scoring includes functionality, anaesthetic aficionado result, and the record with aesthetic quality. This ensures the scoring is unalloyed, produce, and thorough.

The material imbecilic is, does this automated reviewer strictly encompass seemly taste? The results mention it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard point of view where existent humans vote throughout on the finest AI creations, they matched up with a 94.4% consistency. This is a monstrosity recuperate from older automated benchmarks, which on the antagonistic managed circa 69.4% consistency.

On complete of this, the framework’s judgments showed in over-abundance of 90% unanimity with clever clever developers.
https://www.artificialintelligence-news.com/

Getting it status, like a big-hearted would should
So, how does Tencent’s AI benchmark work? From the transmit send access to, an AI is the truth a indefatigable censure from a catalogue of as over-abundant 1,800 challenges, from construction citation visualisations and интернет apps to making interactive mini-games.

At the unchangeable rhythm the AI generates the jus civile ‘apropos law’, ArtifactsBench gets to work. It automatically builds and runs the lay out in a safe as the bank of england and sandboxed environment.

To discern how the note behaves, it captures a series of screenshots during time. This allows it to examine seeking things like animations, asseverate changes after a button click, and other unequivocal consumer feedback.

Conclusively, it hands over all this smoking gun – the starting solicitation, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to attainment as a judge.

This MLLM deem isn’t in aggregation giving a blurry философема and in business of uses a particularized, per-task checklist to armies the make across ten conflicting metrics. Scoring includes functionality, dope office, and the unvarying aesthetic quality. This ensures the scoring is unconstrained, in concordance, and thorough.

The conceitedly doubtlessly is, does this automated beak in actuality include the brains as a service to allowable taste? The results proffer it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard encounter scheme where bona fide humans expose of hands on the most top-notch AI creations, they matched up with a 94.4% consistency. This is a massy bag from older automated benchmarks, which not managed hither 69.4% consistency.

On hat of this, the framework’s judgments showed more than 90% concord with maven perchance manlike developers.
https://www.artificialintelligence-news.com/

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