The first batch of large AI models are open to the public

In the early morning of yesterday, Baidu and Baichuan Intelligence successively announced that the large artificial intelligence models Wen Xinyiyan and Baichuan large models are open to the public. They are also the first large language models in my country to open their services to the public through registration.

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At 0:00 yesterday, Wen Xin Yi Yan announced that it would be the first to be fully open to the whole society. Users can download the "Wen Xin Yi Yan" application in the app store or log in to the "Wen Xin Yi Yan official website" to experience it. It is reported that Baidu will also open a batch of newly reconstructed AI native applications, allowing users to fully experience the four core capabilities of generative AI: understanding, generation, logic, and memory

In the early hours of yesterday, Baichuan Intelligent announced that its large model had been registered and passed the "Interim Measures for Generative Artificial Intelligence Service Management". Baichuan Intelligence was founded by former Sogou CEO Wang Xiaochuan on April 10 this year. The core team is composed of top talents from well-known technology companies such as Sogou, Baidu, Huawei, Microsoft, ByteDance, and Tencent. Only 4 months after its establishment, Baichuan Intelligent has released three general-purpose large language models, including Baichuan-7B, the country's first open source large language model with 7 billion parameters that can be used for free commercial use, and Baichuan, a large language model with 53 billion parameters. -53B

In the first batch of registration lists of the "Interim Measures for Generative Artificial Intelligence Service Management", in addition to Baidu and Baichuan Intelligence, there are large models from enterprises and institutions such as ByteDance, SenseTime, Zidong Taichu, Zhipu Huazhang, etc. It is also included and can officially provide services to the public

The first batch of large AI models are now open to the public

Process Editor: u027

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