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Rise In-depth study functions and showed more models and services in other ai-ai-power analysis, as it confirms that there is a lot of time to simplify the process and the activities of documents.
Canadian AI John In its models, the bank is convenient for the bank, including the new visual model, as well as deep research functions to be optimized for the use of the enterprise.
The company has taught the visual command, using the existing enterprise to use cases using work on the back of its back To order the model. 112 billion parameter, “reveals valuable concepts from visual data, the document will make an optical nature recognition,” he said, “he said.
“These products are used to interpret the pictures of complex diagrams or images of world-world visions or to identify a vision,” declined to be solved by the enterprise ” In the blog statement.
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This indicates the most widely analyzed for the most common types of needs of enterprises: columns, diagrams, diagrams, scanned documents and PDFs.
As the order of architecture is built, like a text model, order the vision. The vision model will also store text to read words in pictures and to command at least 23 languages. Unlike other models, the phenomena said that the phenomenon reduces the total amount of ownership and is completely optimized for the search for enterprises.
What is the architect
Duckbra said Llav architecture Installing their team, including a visual model. These architecture makes visual features into soft phenomena, and it can be divided into various tiles.
These tiles passed to the order tower, text, 111b parameters, “111b parameters”. “This way, only one picture will consume 3,328 tokens.”
Clearly, too, the teacher was taught at three stages: to smooth, and the best adjustment (SFT) and training with human response (RLHF).
“This approach allows you to map the opportunities for card codes” said the company. “During the opposite, SFS I have compatible, vision adapter, and a set of instruction – a set of multi-instructions.”
Elastication company AI
The tests of thinchnored nominations show that priority of other models with similar visual options.
Watch against the beeback OcocaiGPT 4.1, Meta4 is called Maveri, MISTRALOn the nine-fitted competition, 4 passlite large and mistral average 3. If it did not test the model of the Mistral of the Ocr-report, he did not say API, MISTRAL OCR.
The order to see, and provided other models in the tests such as the SPACA, OCRBENCH, AI2D and Textvq. In total, 43.1% 83.1% score in the area compared to 4.1% 48.6%, 80.5% of Maverick and 78.3% 38%.
These days, most major languages (LLMS) can be understood or understood by the viewer of the spectator like images or videos. However, enterprises often use graphics documents such as diagrams and PDFs, so it is difficult to get information from unstructured sources.
The importance of bringing to read and analyze the capacity of the reservoir, studying and analyzing model models structural boot The data has increased.
It is also hope that the company, which has suggested that the company, which suggests a vision in a clear scales, will begin to use their products. So far, there are slight interest in developers.
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