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I was in more meetings than usual today so I am Just caught the fact that cohereand the A Canadian startup made of its establishment by the author of the previous transformer paper Aidan Gomez In order to make obstetric intelligence products work easily, barbedly and safe for institutions, they have She released the first major linguistic model (LLM), logical.
It seems to be a strong version. Technical standards, specifications and early tests indicate that the model provides flexibility, efficiency and the power of raw thinking.
Customer Service, Market Research, Schedule, Data Analysis are some COHER tasks Safe Foundation environments.
It is only a text model, but it should be easy enough to connect models and multimedia tools. In fact, the use of tools is one of the basic points of sale.
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Although researchers are supposed to use for non -commercial purposes, companies will need to pay Cole to reach and reach The company does not include its prices publicly Because it says it makes detailed allocation and private publication.
Its value of $ 6.8 billion When it is Declare The latest financing round of $ 500 million a week and a day.
Seizure
The matter is set on companies with sprawling document libraries, long email chains and workflow that cannot afford hallucinations.
Supports up to 256,000 symbols On multiple settings GPU, decent size and Similar to Openai’s GPT-5.
The research version weighs 111 billion parameters, trained with the use of tools and multi -language performance in mind.
It supports 23 languages outside the box, including English, French, Spanish, Japanese, Arabic and Indian. This multi -language depth is the key to international institutions that need the quality of consistent agent across the market.
Model holes directly in northCOLERE from the CONEERE platform to publish local intelligence agents and automation.
This means that institutions can revolve allocated factors who live in infrastructure, giving them control of data flows while continuing to take advantage of advanced thinking.
Coleher seems to be intelligently believed to determine some repeated functions across institutions – on board, market research and analysis, and develop them – training its model to support the functional workflow to deal with it automatically.
Controlled thinking
As with many other modern thinking versions, including New Nvidia Nemotron-nano-9B-V2The A Reasoning provides a symbolic budget feature to allow users or developers to determine the amount of thinking that can be customized to specific inputs and tasks. The lowest budget means faster and cheaper responses. More budget means deeper and more accurate thinking.
The hooping face version displays this barter directly: thinking can be switched or turned off through a simple parameter.
The developers can run the model in “Thinking mode” to make the maximum performance or turn it off for low cumin tasks – without changing models.
It excels in the target criteria for the institution
How do you perform in practice? CONERE standards draw a clear picture.
In the tasks of thinking about the institution, Logic A constantly exceeds their peers such as Deepseek-R1 0528, GPT -SS-120B and Mistral Magistral Mediarance.
It deals with multi -language standards with equal strength, and it is important for international companies.
The distinctive symbol budget system is not just a way to circumvent. In face -to -face comparisons against the former Quiver The matter a The model, the degrees of contentment increased steadily with the budget increase. Even with the minimum “immediate” thinking, he overcame his predecessor. In the highest budgets, it was pulled forward.
The story is the same in deep search. on Deepresearch seat– Which measures the following instructions, the ability to read, insight, and comprehensively – Coleher has been released in the foreground against offers from Gemini, Obayy, Anthropor, Al -Hurra, and Xai’s Grok. The model excelled in converting sprawling questions into reports not only detailed, but can be read, and it is a major challenge in institutions of institutions.
Beyond the standards, the model is connected to the work. She specifically trained it to use the conversation tool – allow it to connect to the application of application programming facades, contact the databases, or inquire about external systems during the task.
Developers can define tools via the JSON chart and feed them in chat templates in transformers, facilitating the model in the systems of current institutions.
This design supports the biggest bet on the workflow in the agent: Artificial Intelligence Systems consists of multiple coordinated factors, each of which deals with a larger function. Thinking is the engine of thinking that keeps this workflow and the task.
Safety: It is designed for high risk works
COHERE is also safety mode as a central feature. The first modelThe trainer avoids the headache of the joint institution from excessive recovery- When artificial intelligence rejects legitimate requests of caution – while Filtering remains harmful or harmful.
Assessments Focus on five high -risk categories: child safety, self -harm, violence and hatred, explicit material theories, and conspiracy theories.
For companies looking to spread artificial intelligence in organized industries or sensitive areas, this balance aims to make the model more practical in daily operations.
Early purchase from large companies
SAP SE is one of the first main partners to integrate the model. Dr. Walter Sun, SVP and the international head of Amnesty International, said that cooperation will enhance the capabilities of SAP IQ on the SAP Business Technology platform. For customers, this means that agent applications that can be customized to suit the needs of the private institution.
Availability and licensing
ComMand a remung is now available on the COHERE platform, and for the research use in the face of embrace.
The embraced facial warehouse provides open weights to search under the CC -BY-NC license, which requires users to share contact information and adhere to the acceptable policy of coexistence.
Institutions interested in commercial or private publishing can contact the COHERE sales team for detailed pricing.
For institutions, the stadium is clear and direct: one model, multiple positions of publication, careful control, multi -language capacity, tools integration, and standard results indicating that they outperform their peers.
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