Abstract: On July 9, OpenAI's chatbot ChatGPT launched a new feature: Code Interpreter. This new feature has been opened to all Plus subscribers, and it extends the functionality of ChatGPT, bringing users a better interactive programming experience and powerful data visualization capabilities.
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Hot info
Unity CEO: Generative AI will make game development 5-10 times faster
The average video game world takes hundreds of game designers, graphic artists, and musicians years to create, Decrypt reported July 10. Unity CEO John Riccitiello predicts that generative artificial intelligence (AIGC) will dramatically reduce this time, by a factor of 5 to 10.
ChatGPT's online "code interpreter" function can issue instructions in natural language
According to the "Kechuangban Daily" report on July 10, OpenAI's chat robot ChatGPT recently launched a new feature: Code Interpreter (Code Interpreter). This new feature has been opened to all Plus subscribers, and it extends the functionality of ChatGPT, bringing users a better interactive programming experience and powerful data visualization capabilities. With this feature, even if you are not a programmer, you only need to give instructions to ChatGPT in natural language, and you can also complete tasks that require complex programming techniques, such as analyzing data, creating charts, editing files, performing mathematical operations, etc.
Oxford and Cambridge lifted the ban on ChatGPT, and 24 top universities in the UK issued detailed usage principles
According to a report by IT House on July 10, the Russell University Group, composed of 24 top British universities including Oxford University, Cambridge University, and Birmingham University, recently jointly released new principles for using generative AI tools on campus. The rules, which have been unanimously endorsed by vice-chancellors of the 24 member universities, will develop curricula and governing bodies for the ethical and responsible use of new technologies such as generative AI.
The new rules propose five specific principles, including: 1. Colleges and universities will support AI literacy for students and staff; 2. Faculty and staff should have the ability to support students in the effective and appropriate use of generative AI tools in the learning process; 3. .Universities will adapt teaching and assessment to incorporate the ethical use of generative AI and give teachers and students equal access to these tools; 4. Universities will ensure that academic rigor and integrity are maintained; 5. As technology and its In the development of applications in education, universities will cooperate to share best practice cases.
Tim Bradshaw, chief executive of the Russell Group, said: "Breakthroughs in AI are already changing the way we work, students need new skills for enriching careers, and academics at universities need support in researching how AI can be used to enhance teaching and research. "
IDC report: 24% of companies worldwide plan to invest in generative AI-related technologies by 2023
According to a report by "Kechuangban Daily" on July 10, a survey by IDC showed that generative artificial intelligence technology is still in the early stages of development. Globally, only 24% of companies plan to invest in relevant technologies in 2023.
Shanghai Renji Hospital upgraded "Smart Customer Service" 3.0, and will launch AI nurse "Serena" at the end of the month
According to IT House's report on July 10, Shanghai Renji Hospital launched an innovative pilot project of "Internet Hospital + Nursing Home" combining medical care and nursing care, covering the high-quality medical resources of top-tier hospitals to senior care institutions through a smart medical platform. On the basis of research inside and outside the hospital, Renji Hospital has upgraded the "Smart Customer Service" 3.0, aiming to anthropomorphize the smart customer service of Internet hospitals so that it has the function of voice dialogue. It is reported that the AI nurse "Xiaowei" will go online at Renji Hospital's Internet Hospital at the end of the month, providing aging services for the elderly who are not good at operating smart devices, and answering daily medical problems.
Investment and Financing
Xihu Xinchen released the "West Lake Large Model" and received an investment of 100 million yuan from Tom Cat
According to the "Kechuangban Daily" report on July 10, the large-scale unicorn company Xihu Xinchen released a self-developed general-purpose large-scale model "West Lake Large Model", which focuses on emotional companionship and can be applied to entertainment, games, social, Medical, financial and other fields. In addition, Xihu Xinchen has once again obtained a strategic investment from Tom Cat recently, with an investment amount of over 100 million yuan, and the two parties will accelerate the application of large models. As previously reported, Tom Cat: and the West Lake Xinchen team have jointly promoted the preliminary research and development of artificial intelligence interactive products.
Metaverse recommended reading
"ChatGPT artifact Code Interpreter is finally open, how to use it? Here's a Nanny-Level Tutorial"
Two days ago, OpenAI announced that it would make the official plugin Code Interpreter available to all ChatGPT Plus users through the Beta panel in the settings within a week. This news made many people excited. After all, Code Interpreter has been in the closed beta stage before, and only a small number of users have actually used it. These internal test users use it to analyze data, create charts, edit files, perform mathematical operations, etc., and the response is generally good. You didn't have to wait too long. On July 9th, Code Interpreter was officially opened.
https://www.8btc.com/article/6825530
"Yao Qian: Some Thoughts on the Ecological Construction of Large-scale Models"
As an important field of big data and artificial intelligence applications, the financial industry should pay close attention to the latest developments in technologies related to large model training. This paper first analyzes the evolution and upgrade path of large models, and then discusses the possible interaction methods between large models and small and medium models, and expounds the data ecology and model ecological construction of large models. The sustainable development of large-scale model ecology provides relevant ideas.
https://www.8btc.com/article/6825532
""Volume" Funds Grab Talents, Understand the Competitive Landscape of Domestic AI Large-scale Models in One Article"
How hot is the AI big model business? What is the investment layout of the capital market for this outlet? How is the performance of today's domestic large-scale models? Titanium Media·Tidu Tuwen tries to sort out the current development status of domestic large-scale models from the data level.
https://www.8btc.com/article/6825496
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