The popularity of ChatGPT continues unabated
It’s June, friends, it’s already June, and the popularity of ChatGPT is still unabated. There are still articles on ChatGPT-related topics on the lists of major forum websites, and the rankings are high. It can be seen that the upsurge of ChatGPT will continue for a while.
Moreover, ChatGPT's continued popularity also illustrates a problem from the side, that is, ChatGPT is indeed a current T0-level product. Foreign technologies are developing and products are being iterated, and we are not losing. Our own similar products are also striving to catch up. When ChatGPT became very popular, Baidu announced that Wenxin Yiyan was launched for testing, and after that, Tongyi Qianwen, a subsidiary of Alibaba, announced that it was open for testing.
Wenxinyiyan
As a new generation of Baidu's new generation of knowledge-enhanced large-scale language models, it is a new member of the Wenxin large-scale model family. Wenxin Yiyan can talk and interact with people, answer questions, assist in creation, and help people obtain information, knowledge and inspiration efficiently and conveniently.
Tongyiqianwen
It is a super-large-scale language model launched by Alibaba Cloud, covering language, hearing, multimodal and other fields, and is committed to realizing general intelligence close to human intelligence, allowing AI to go from "single sense" to "full five senses". Features include multiple rounds of dialogue, copywriting, logical reasoning, multimodal understanding, and multilingual support. It is able to interact with humans for multiple rounds, and also incorporates multi-modal knowledge understanding, and has the ability to create copywriting, and can continue to write novels, write emails, etc.
Huawei is in the game
Baidu and Ali, as well-known domestic technology and Internet companies, have joined the competition of ChatGPT. According to news on June 3, relevant media have exclusively learned from Huawei that Huawei will release a multi-modal video chat platform that directly matches ChatGPT. The first-class large-scale model product, named "Pangu Chat".
According to reliable sources, Huawei Pangu Chat is expected to be released and internally tested at the Huawei Cloud Developer Conference (HDC.Cloud 2023) on July 7 this year, and the product is mainly for To B/G government and enterprise terminals client.
Regarding Pangu GPT, according to a paper released by Huawei, the parameters of Huawei's Pangu-Σ large model are at most 1.085 trillion, which is developed based on Huawei's self-developed MindSpore framework. On the whole, the PanGu-Σ large model may be close to the level of GPT-3.5 in terms of dialogue.
The official website of Huawei Cloud shows that the Pangu large model is composed of multiple large models such as NLP large model, CV large model, multimodal large model, and scientific computing large model. AI scale, industrialization problems, can support a variety of natural language processing tasks, including text generation, text classification, question answering system, etc.
Specifically, the Pangu NLP large model uses the Encoder-Decoder architecture for the first time, taking into account the comprehension and generation capabilities of the NLP large model, ensuring the flexibility of embedding the model in different systems. In downstream applications, only a small number of samples and learnable parameters are needed to complete the rapid fine-tuning and downstream adaptation of a large-scale model of 100 billion. This model has a good performance in intelligent public opinion and intelligent marketing.
Artificial intelligence development and digital intelligence
Still the same sentence, artificial intelligence technology must be an important part of future technological development. ChatGPT and Wenxin Yiyan, Tongyi Qianwen, and Pangu GPT have come out one after another, which is also further promoting the development of digital intelligence.
Now that digital intelligence is mentioned, it would be somewhat impolite not to mention low-code development. Low-code development platforms are highly customizable, easy to modify, and extend, so they can help organizations quickly modify, upgrade, and deploy applications. Because it provides an easy-to-use visual interface and pre-built components, it reduces the time for developers to write and test code. This reduces application release time and enhances developer productivity. Therefore, based on the above advantages, the low-code platform can respond to changes in business needs faster and help organizations better adapt to market competition.
Just like our JNPF rapid development platform, as a platform that has successfully helped thousands of companies complete digital projects, it has established a software product service system covering customers in different industries and at different stages of development.
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The low-code development platform can be regarded as a key technology for the transformation and development of digital intelligence, which can improve production efficiency, reduce costs, improve flexibility and stimulate innovation. They provide developers with a rich set of tools and components to quickly create data-driven applications that enable digital transformation.