Would you like intelligent concepts in the login box? To find out important issues of the enterprise, data and security leaders, register to register our weekly ballots. Subscribe now
After keeping the summer A strong, free, free, free new source language and encoded AI models are closed and at some point, to the competitive spring / US opponents, Alibaba “Qwen team” a group of aiyl – as well as an open source.
Qween image is in most general production image models the reason for Emphasis on the exact indication of the text in the visual sphere – Many opponents are still a fighting area.
Support of alphabetical and cough scenarios, model of complex typography, paragraphs of the paragraph, and Two-language content (eg English-Chinese).
In fact, it will allow users to Content of film posters, presentation slides, shop scenes, such as a hand-written poetry and styling infographics – with acid text based on their suggestions.
AI influence series return to San Francisco – August 5
The next stage of the month is here – Are you ready? Join the number of autonomous agents, join the block, GSK, GSK, GSK and SAP.
Your place now is your place – space is limited: https://ky.ly/3Guuplf
Examples of QWEN-Fig in the picture include the cases of various real worldly use cases:
- Marketing and brandingBrand logo, two-language posters with stylistic calligraphy and consistent design motives
- Presentation design: Title hierarchies and a topic visual
- EducationClasses containing diagrams and exact instructions
- Retail & E-Commerce: Shop scenets of the product labels, mark and environmental context should be read
- Creative content: Hand-written poetry, scene onions, illustration in anime style
Users interact with a model Qwen conversation Website with the key to the key to selective keys from the selection field of “Generation”.
However, my brief tests revealed the text and are not widespread than the image Image Image Image Image Image Image Image Image Image Image Image. My session was made by Qwen conversations, and even after I repeatedly repeated my text, repeat, even once again repeated, repeated, and even repeated, even after repeat.
However, it offers only a medium-term number of free generation and requires only a few things compared to the quident of QWEN, licensing and scales of his open source compared to the QWEN. Hugs his faceAny enterprise may be taken free of charge to the provider of third parties.
Licensing and accessibility
Qween-picture is distributed under the Apache 2.0 licenseCommercial and non-profit use, redistribution and modification – required for the license of the license text.
This may be favorable for open or external or external or external conflict collateral for open or external or external or external conflict collateral for external or external or external conflict pledged.
However, modeling information remains strictly guarded – the most different second as the most advanced image As a result of several businesses on it.
Qwen, unlike Adobe Firefly to eat Opocai’s GPT-4O Native Image, for example, does not include its products into commercial use (i.e.. Adobe and Ociai help them support them to the court.
The model and related assets – IMO notebooks, evaluation weapons, and grinding equipment, have several times:
In addition, the live evaluation portal called Ai Arena allows users to compare the Romanian-generation with miler.
Training and development
Qween and behind the picture Progressive training, education process based on multi-modal tasks and aggressive informationAccording to The study team has been announced today.
The training corps includes billions of photos, natural photos, human portraits, artistic and design content (for example, posters and UI status) and synthetic text. Qween team did not mark the size of the learning information coop“To a billion -ic photograph-text couple.” They provided a division of a category in each category they contain:
- Nature: ~ 55%
- Design (UI, posters, art): ~ 27%
- People (portraits, human work): ~ 13%
- Show synthetic text: ~ 5%
It should be noted that Queen has made all synthetic data at home and no other AI models have been used. In spite of full supplement and filter stages, It does not specify any of the information submitted in the document or whether it is involved in the public or information base.
Unlike synthetic texts, unlike synthetic texts related to the risk of the noise, it will use a synthetic synthetic rendernological renergy to improve the character of the character.
The curriculum has a style style strategy: Model begins with simple accounts and non-text contentThen, bringing text text scripts, mixed language, and description of densely. Is it Gradually, to help generalize exposure scenarios and forms of formatting.
Qwen-picture connects three basic modules:
- QWEN2.5-VLThe multimedia language model includes contextual value and guidelines through system instructions.
- Vae Encode / DecoderHigh level documents and the real world, trained, especially in detail visual representations, especially the small or dense text.
- MmditDiffusal model coordinates joint knowledge, joint education. Roman Msropa (multimedia zones, enclosure) improves the plain of spatials between burn.
In jointly, these components allow you to effectively operate the concept of image, syllables, and accurate editing.
Executive indicators
Qwen-image was estimated rather than several social indicators:
- Genval and the Dpg Consistency for the consistency of appropriate and Object attribute
- Oneig-chair and the for a For composite thinking and placement
- Cvtg-2k, Chineseand the Longtext-chair For text renergy, especially in multilingual contexts
Apparently, Qwen-Figure GPT image has been covered with closed spaces, such as 1 (high), seered (high). It should be noted that it was much better in the presence of the Chinese text.
AI Arena Regueb Center – 10,000+ Personal pairings – QWEN-Figure is the third place and the open source model.
Consequences for technical solutions of the enterprise
Manages comprehensive universal disabled for AI, the image of QWEN offers several functional advantages that meet the operating needs of different roles.
To those who control models – Wil to disseminateL Find the quality of consistent size of the picture and its integrated components. The open source of creation reduces licenses, and modular architecture (QWEN2.5.5.5.5.5.5.5.5.5.5-vl + MMDIT) promotes adaptation to adapted information and domain features.
The Curricula programs and purification helps to help unknown results to appreciate the leaders in order to the teams. Marketing visual, document render, document renderers, or electronic commercial graphics
Engineers The construction of ai pipelines or evaluates detailed information documents with the placement of models on systems or distributed systems. The model was built to work with parallelism using the architecture of consumers, using the architecture of consumers. Is it Queen and non-existing substances, Gibrid commissioned to place in cloud clouds.
In addition, the image of the picture in the picture (Ti2i) allows to use the repair work (TI2i) in real time or interactive applications with special instructions.
Experts are aimed at operation, verification and transformation You can use a picture to train photo or create synthetic databases to prepare computer-appealed models. Its opportunity to install its high decisions, multi-speaking annotations can improve the object, or the instructions of the article can improve.
Because qween was Been trained to prevent artifacts like QR codesDistorted text and water symptoms, which helps the company’s teams to keep the prepaid teams than many public models, rather than many public models.
Search for opportunities and opportunities for cooperation
Qwan team emphasizes openness and community cooperation in the release of the model.
Developers call on QWEN to test QWEN and encourage them to check, suggest the narration and encourage them to participate in the evaluation leaders. The cases of text renergy response, deeper and multilingual use can be created for future repetitions.
“To reduce technical barriers to create instructional content”
Source link
