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Although the current effects of OpenAI's ChatGPT, Baidu's Wenxin Yiyan, and other related conversational AI models still need to be improved, especially many factual errors often occur, the power of AI large models makes the world clear We have clearly seen the empowering value of AI as the underlying technology. In the past, no AI product could bring such shocking effects.

Even Bill Gates, the founder of Microsoft, said that artificial intelligence has entered a new era, and it has become as important as technologies such as the Internet and mobile phones. Connecting these technologies together can create more innovative applications . Among them, OpenAI's GPT model is considered to be one of the most influential and revolutionary technologies.

High industry enthusiasm will inevitably attract more companies to participate in it. According to the "Generative AI Special Research Report" released by China Securities, there are already Huawei, Baidu, Ali, HKUST Xunfei, Gelingshentong, and Cloud AI in China. Dozens of companies from Science and Technology, Haitian AAC, TRS, Kunlun Wanwei, Wanxing Technology, Chinese Online, etc. are researching AI large models, and the directions involve dialogue, painting, text assistance, composition, metaverse, content creation, etc. aspect. With the intensive influx of enterprises into the field of AI large-scale models, the first link to be challenged is the aspect of talents.

Previously, it was mentioned in the "ChatGPT-Related Field Employment Insight Report" released by Liepin that the shortage of artificial intelligence talents in my country continues to be higher than the overall level of the Internet, and the shortage of AI large-scale models, which is the core technology of ChatGPT, is more prominent. The report mainly pointed out the shortage of three types of talents. First of all, there is a shortage of talents in the pre-training model. This position is mainly responsible for completing the training of the model based on the marked data. Since the current large model integrates text, pictures, audio and video, etc., it is mainly multi-modal pre-training; The second is the direction of dialogue robots. This position is mainly responsible for the research and development and optimization of artificial intelligence dialogue robots and natural language understanding background technology, and is more inclined to the application side; the third is the AIGC position, which is mainly responsible for the construction and optimization of large models.

In the "ChatGPT Related Fields Employment Insight Report", the average salary of the three major scarce positions is about 330,000 yuan, of which AIGC ranks first at 390,800 yuan; dialogue robots are 348,900 yuan; pre-trained models are 339,300 yuan.

However, according to the data of Maimai High Employment Talent Think Tank, in the case of a serious imbalance between supply and demand, companies pay far more than this level for talents in AI large-scale models. The main reason is that the main source of domestic AI large-scale model talents is the mature team represented by the Baidu Wenxin Yiyan large-scale model team. Therefore, these teams have encountered crazy poaching, and the annual salary of employees with 3 years of relevant work experience can reach million dollar.

Jing Xiaoping, international business director of talent solution provider Cree, said that based on past experience, it is normal for the AI industry to offer an annual salary of one million yuan. Driven by market demand. "When demand arises, companies are willing to recruit practitioners with relevant work experience at a salary that exceeds the market average, so that related businesses can be quickly established."

Of course, it's not just domestic high salaries that rob people, but also foreign countries. As far as OpenAI is concerned, the company's behavior of poaching Google has been greatly criticized. According to related reports, an organization conducted background analysis on 736 OpenAI employees at the time, 59 of whom worked for Google, followed by 34 who worked for Meta, 15 for Apple, 14 for Dropbox, and 11 for Amazon. Moreover, before and after the release of ChatGPT, 10 top Google AI experts joined OpenAI.