Large models open to the public, model competition escalates again?
From construction to 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 will be open to the whole society. According to reports, 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 there are also Byte, Chinese Academy of Sciences, Shanghai AI Laboratory, 360, and University of Science and Technology 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. Enterprise users can call the Tongyi Qianwen API through Alibaba Cloud...
What Is it a large model?
A large model refers to a model with complex structure and large-scale data. They are usually composed of multiple sub-models and can handle more complex tasks and problems. The emergence of large models has brought us many benefits. First, they can provide more accurate predictions and analysis results. Because large models are able to handle more data and variables, they are able to understand and explain phenomena more fully. Second, large models can also provide higher performance and efficiency. Because large models have greater computing power and processing power, they can complete complex tasks more quickly. In addition, large models can provide better decision support and optimization solutions. By analyzing and modeling large-scale data, large models can help us make smarter decisions and find more optimized solutions. In short, the emergence of large models has brought us more opportunities and challenges, and they will continue to play an important role in various fields
As a deep learning model that uses a large amount of text data for training, large models can Generating natural language text or understanding the meaning of language text is 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, we can take Wen Xin Yi Yan as an example, which can help users quickly improve 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, vocabulary expansion, etc., thereby helping users improve article quality and writing efficiency
According to Baidu official platform data shows that on the opening day only, that is, between 0:00 and 24:00 on August 31, Wen Xinyiyan responded to more than 33.42 million questions from netizens, and the number of daily active users exceeded 1 million within 19 hours of opening for downloading. . 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 Quick 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.
As a powerful tool, large models are of great significance for improving efficiency and productivity. According to the latest forecast of the large model-based artificial intelligence market size by market research organization IDC, China's artificial intelligence market size is expected to exceed US$14.7 billion by 2023 and exceed US$26.3 billion by 2026.
Open What is the significance?
So, what does it mean to open large models to the public?
Opening large models to the society has the following meanings:
First, promote technology 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, we need to cultivate an ecological environment for innovation. Opening large-scale models to public use can promote the formation of a more active and innovative ecosystem. By combining with professional knowledge and experience in various fields, we will promote the innovative development of large-scale models
Third, accelerate industrial upgrading. In fact, the application of large-scale 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-scale models, thereby promoting upgrading and innovation in all walks of life
In short, opening large models to the society can help promote technological progress, accelerate industrial applications, improve social benefits and cultivate an innovative ecology. 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.
Written at the end:
The opening of large models to the public has brought a new dimension to the competition in the large model industry, including capabilities in technology, data, computing power, application scenarios, etc. In order to achieve sustainable development in this ever-changing market environment, relevant enterprises need to constantly adapt to changes and strengthen their own strength
Currently, we are in a new development paradigm led by digitalization and driven by intelligence. , artificial intelligence has become one of the key engines that promotes 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 bring more far-reaching impacts to human society
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