iFlytek Spark Cognitive Model
v3.5
Download the iFlytek Spark Cognitive Model v3.5. Today the editor is sharing the iFlytek Spark Cognitive Model v3.5, which was launched today. Users who want to experience the latest features and content, please come to this site to download and use it. More Brand new content is waiting for you to join and experience it.
iFlytek will hold the iFlytek Spark Cognitive Large Model V3.5 upgrade conference in Hefei, Anhui. It is understood that iFlytek Spark V3.5 is the first large-scale model open to the public based on the training of the nationally produced computing power platform "Flying Star One", and the training has been completed.
The iFlytek Spark V3.5 released this time has achieved significant improvements in core capabilities such as logical reasoning, language understanding, text generation, mathematical question answering, and multi-modal recognition. At the same time, a new Spark voice large model will be released, bringing a smoother and more natural voice interaction experience; the Spark open source large model will be released for the first time, deeply adapting to domestic computing power, ensuring that the large model is efficient, easy to use, autonomous and controllable.
Fast response and efficient processing adopt a streaming interface design, and the first frame response can be as fast as milliseconds. With the help of efficient algorithms and architecture, it can handle a large number of user requests in a very short time
Diverse scenarios and continuous evolution provide diverse capabilities including language understanding, knowledge Q&A, code writing, logical reasoning, mathematical problem solving, etc., and continue to learn and evolve from massive data and knowledge.
Flexible application and personalized customization provide rich parameter settings to achieve personalized model experience. For enterprise-level customized needs, exclusive model solutions can be provided
The service is stable, safe and reliable. The cloud service meets the Level 3 standard and adopts a public cloud architecture with hundreds of billions of traffic. It combines multiple means such as data encryption and access control to ensure user privacy and security.
