As a deep learning model trained using large amounts of text data, large models can generate natural language text or understand the meaning of language text, and are an important path to artificial intelligence. Large models can be applied to various machine learning tasks, including natural language processing, computer vision, speech recognition, machine translation, recommendation systems, reinforcement learning, etc., and can help people complete various tasks efficiently.
From being built to being put into use, large models are now beginning to fly into the homes of ordinary people.
On August 31, Baidu, SenseTime, Zhipu AI, Baichuan Intelligence and MiniMax officially issued announcements, announcing that their large-scale model products are open to the whole society. It is reported that these five companies have passed the review and filing of the "Interim Measures for the Management of Generative Artificial Intelligence Services".
It is worth mentioning that Byte, Chinese Academy of Sciences, Shanghai AI Laboratory, 360, iFlytek and Alibaba Cloud have also passed the registration process, bringing the total to 11. Among them, iFlytek announced on September 5 that the iFlytek Spark cognitive large model is open to the public. Users can download the "iFlytek Spark" App from major app stores or log in to the "iFlytek Spark" official website to register and use it directly. On the same day, 360 announced that its self-developed large-scale cognitive general artificial intelligence model "360 Intelligent Brain" will be open to the public from now on and will be fully integrated into the 360 "Family Bucket". On September 13, Alibaba Cloud announced that the Tongyi Qianwen large model was officially open to the public. Users can log in to the Tongyi Qianwen official website to experience it, and enterprise users can call the Tongyi Qianwen API through Alibaba Cloud...
What is a large model?
So, what is a big model and what does it bring us?
As a deep learning model trained using large amounts of text data, large models can generate natural language text or understand the meaning of language text, and are an important path to artificial intelligence. Large models can be applied to various machine learning tasks, including natural language processing, computer vision, speech recognition, machine translation, recommendation systems, reinforcement learning, etc., and can help people complete various tasks efficiently.
For example, in terms of writing, Wenxinyiyan can help users quickly improve their writing efficiency. Wenxinyiyan uses artificial intelligence technology to analyze the content and language of articles, and provides writing assistance functions such as language materials, paragraph recommendations, grammar correction, and vocabulary expansion to help users improve article quality and writing efficiency.
According to data from Baidu's official platform, Wen Xinyiyan responded to more than 33.42 million questions from netizens on the opening day only, that is, from 0:00 to 24:00 on August 31, and the number of daily active users exceeded 100 within 19 hours of opening the download. Ten thousand. It is worth mentioning that Wen Xinyiyan App has also appeared on the hot lists of many app stores, and has topped some relevant app store rankings.
In terms of code writing, taking 360 Intelligent Brain as an example, this model is based on 360's innovative code generation technology, providing efficient code capability services and supporting the generation of executable code based on natural language descriptions or pseudocode to achieve rapid completion of programming tasks.
In terms of translation, taking the iFlytek Spark cognitive large model as an example, it can realize real-time translation between multiple languages and bring convenience to people. Data shows that on September 5, after the iFlytek Spark cognitive large model was launched, the number of users exceeded 1 million within 14 hours.
It can be seen that large models, as a powerful tool, are of great significance for improving efficiency and productivity. According to the latest forecast of the large-model-based AI market size by market research firm IDC, China's artificial intelligence market size is expected to exceed US$14.7 billion in 2023, and will exceed US$26.3 billion by 2026.
What is the meaning of openness?
So what exactly does it mean for a large model to be open to the public?
Opening large models to the public has the following meanings:
First, promote technological progress. The training of large models requires massive amounts of data. Opening it to the public can attract more users to use and feedback, thereby obtaining larger data scale to drive technology development and product iteration.
Second, cultivate an innovation ecosystem. Opening large models to the public can create a more active and innovative ecosystem. By combining it with expertise and experience in various fields, large model innovation will be promoted.
Third, accelerate industrial upgrading. In fact, the application of large models is not limited to specific fields, but can also play a role in a variety of different scenarios. Opening it to the public will help accelerate the industrial application of large models, thus assisting the upgrading and innovation of all walks of life.
All in all, opening large models to society can help promote technological progress, accelerate industrial applications, improve social benefits and cultivate an innovative ecosystem. It is a strategic opportunity that transcends. At the same time, the opening of large models to the public also means that competition in the large model industry will become more intense, because more people can use large models, which actually provides more opportunities for the application and promotion of large models. For those enterprises with technical advantages and in-depth understanding of application scenarios, they can quickly increase their market share. For companies with weak technology, they will inevitably face greater challenges.
write at the end
The opening of large models to the public has also added a new dimension to the competition in the large model industry, including technology, data, computing power, application scenarios and other capabilities. This requires relevant companies to continuously adapt to changes and strengthen their own strength in order to be able to compete in the large model industry. Achieve sustainable development in this constantly changing market environment.
Currently, we are in a new development paradigm led by digitalization and driven by intelligence. Artificial intelligence has become one of the key engines for promoting social progress and innovation. I believe that with the continuous development and application of large models, artificial intelligence will quickly move towards a broader future and will also have a more profound impact on human society.