The integration of deep learning with traditional industries in application has made AI an unprecedented explosion. But as Li Feifei, a professor at Stanford University, said, there is still a long way to go no matter in terms of intelligence, manpower or machine equipment.
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The world is now focused on the impact of generative AI tools on the knowledge and creative economy. Schools are the centers of knowledge and creative work, and are therefore likely to be the first places where the general public will see tangible changes.
Want to have a Monet style impressionist Thai temple painting, but can't afford to entrust the painter? Let artificial intelligence (AI) do the job. Then he changed his mind and wanted a surrealist painting? It's a piece of cake. Type the desired content in the message box of the AI art generator, and then press the button. Look, you've got your wish! Due to the rapid development of AI technology, today's digital world provides a large number of programs to generate high-quality visual arts under people's fingertips. Similarly, AI music generators are magic.
Many people are worried that the rapid development of AI will cost them their jobs, and to a certain extent this is true, but AI is not a panacea and it has its limitations.
AI can now code in any language without additional training.
Many workers, especially freelancers and small business owners, are already using generative AI tools to save time.
As one of the world's largest cloud providers, Amazon is positioning Bedrock as a new type of Generative Artificial Intelligence (GPT) solution whose goal is to help companies rapidly build and optimize their software and applications.
According to a recent survey conducted by automation software company UiPath, the majority of employees (about 60%) believe that AI-based automation solutions can reduce burnout and significantly improve job satisfaction.
AI models have many definitions today. They can be a parallel universe containing the digital version of human beings and the world, or a three-dimensional network that replaces today's two-dimensional network, or a graphical interface for predictive analysis and product design cooperation.
GPT-4 will already design its own chips! One of the oldest problems in the chip design industry, HDL, has been successfully solved by GPT-4. And, the 130nm chip it designed has been successfully flowed.
