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Qwen-VL-Plus: a breakthrough in solving captcha through neural networks

Qwen-VL-Plus: a breakthrough in solving captcha through neural networks

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by Alexandra Smirnova

a year ago


In the world of technology, a true discovery has taken place, which can forever change the familiar process of interacting with internet resources. It is about the new neural network Qwen-VL-Plus, whose efficiency surpasses all known systems to date, including GPT-4V. This breakthrough promises to make the captcha entry procedure, familiar to every internet user, outdated and unnecessary.

The key advantage of Qwen-VL-Plus is its ability to quickly and accurately solve captchas, consuming minimal time and effort from the user. Unlike previous generations of neural networks, working with Qwen-VL-Plus does not require formulating complex requests. Simply enter the simple command «solve this», and the system will automatically process the image, identifying the exact position of the object, whether symbols, images, or other captcha elements.

But the capabilities of Qwen-VL-Plus are not limited to captcha recognition. This neural network is capable of performing a wide range of visual tasks. For example, it can determine the cost of a dish from a photo in the menu, find the serial number on a complex image, or perform other visual tests that could previously pose challenges even to advanced artificial intelligence models.

Thus, captcha, which has long served as a reliable means of protection against bots, can now be considered definitively defeated. Thanks to Qwen-VL-Plus, the user verification process becomes simpler, faster, and more pleasant, freeing people from the need for tedious and monotonous symbol entry.

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