AI intelligent robot is a type of robot based on artificial intelligence technology, with core technologies including machine learning, natural language processing, computer vision, etc. By analyzing and learning large amounts of data, it simulates human behavior and thinking patterns for intelligent decision-making and action.
The reason why it is intelligent is because it has a highly developed "brain" that can use computer science, artificial intelligence, and robotics technology to achieve autonomous movement, perception, and intelligent behavior. It can master and apply a large amount of data, algorithms, templates to work, and adjust its own behavior based on sensory feedback and environmental changes. Of course, it is impossible to be the same as human thinking.
With the continuous development of technology, the application of AI intelligent robots is becoming increasingly widespread, including industrial production, logistics and warehousing, medical care, education and entertainment, and other fields. It can greatly improve work efficiency, help humans better understand themselves and the environment, and improve their quality of life.
1. Model surrogate training
AI model training technology has been widely applied and promoted, especially in fields such as image recognition, speech recognition, and natural language processing.
In terms of solving problems and challenges, we can take the following measures: firstly, strengthen the quality and quantity management of data, improve the openness and availability of data through data sharing and collaboration; The second is to enhance the interpretability and visualization of AI models, by using visualization techniques and explanatory algorithms to improve the transparency and credibility of AI models; The third is to strengthen the security and privacy protection of AI model training, ensuring the security and privacy of AI model training through data encryption and access authorization.
AI model training is an important part of artificial intelligence technology, which will have a profound impact on future social and economic development. We need to fully recognize the current situation and problems of AI model training, while also actively exploring and innovating to lay a solid foundation for the future development and application of AI model training.
Combining different large-scale language models to optimize various tasks, while incorporating security anonymization data from massive work order data, robot dialogue data, unstructured documents, etc. into training, to ensure that AskBot can deeply understand and adapt to enterprise language and business scenarios, providing employees with services such as problem solving, data querying, business processing, knowledge search and Q&A, and becoming the most intimate work assistant for employees.
2. Computing rental
Computing power leasing is a model of renting computing resources through cloud computing service providers. We believe that cloud computing power empowers all parties in the industry chain through a "break down" approach, which is sustainable.
As the demand for computing power for AIGC's large models skyrockets, the potential of the AI computing rental market increases. According to OpenAI's calculations, from 2012 to 2018, the amount of computing power required to train AI doubled approximately every 3-4 months, and the annual increase in computing power required to train top models was as high as 10 times, showing an exponential rise overall. On the supply side, the cooperation between computing power manufacturers and cloud platforms has a long history. Users can rent Nvidia A100 graphics cards and AI processors through platforms such as Alibaba Cloud and Tencent Cloud. With the launch of Nvidia DGX Cloud, AI cloud computing power has entered a new stage.
