ChatGPT developer OpenAI is working on a new artificial intelligence model in a project codenamed “Strawberry,” people familiar with the matter and internal documents say.
The company is currently demonstrating that the model it’s offering is capable of advanced reasoning, to enable the company’s AI to not only generate answers to queries, but also plan far enough in advance to autonomously and reliably navigate the Internet.
Not only that, but a team of researchers at Google (GOOG) DeepMind reportedly recently published a groundbreaking study proposing a new method called JEST (Joint Example Selection) that aims to improve the efficiency of large-scale multimodal learning.
Google claims that JEST can dramatically increase the training speed and energy efficiency of AI models by order of magnitude, outperforming new models with up to 13 times fewer iterations and 10 times fewer computations through an innovative joint sample selection and learnability scoring mechanism.
Generative AI
A variety of big-model demonstrations and experiences have revealed the potential of AI to provide emotional value, simulate human conversations, and multimodal interactions, and now 2024 marks a turning point in the history of AI development, with a vibrant open-source environment and multimodal models coming together to drive the advancement of generative AI research.
But in reality, before generative AI, most AI applications used predictive AI. As the name suggests, predictive AI predicts trends or provides insights based on existing data without generating entirely new content. In contrast, generative AI utilizes machine learning to create original output by learning patterns of “thinking” from training data.
As generative AI continues to move from the lab to reality, attitudes toward the technology are becoming more sophisticated. In terms of AI trends for 2024, Jen-Hsun Huang, Founder and CEO of NVDA, called the launch of generative AI “the i-Phone moment for the AI industry,” meaning that its disruptive technological breakthroughs and product forms may trigger a complete transformation of the Al industry.
In addition, CITIC Investment released the electronics industry investment strategy for the second half of 2024, saying the rapid iteration of AI brings rapid growth in demand, from the upstream infrastructure to the downstream terminal, the AI industry chain will continue to expand, the domestic supply chain will also occupy a place. Relevant manufacturers are actively expanding production, and should pay attention to the development opportunities of generative AI technology in rapid iteration.
WiMi generative AI in all industries
Undoubtedly, generative AI has become a popular direction for the layout of major companies. As the complexity of AI models continues to increase, the market competition is also gradually increasing. According to reports, AI big model enterprise WiMi Hologram Cloud Inc.(WIMI) is making this AGI dream a reality by releasing new big models one after another, and through a major update of the generative AI technology stack on the other hand.
Currently, WiMi is targeting a series of major updates on the generative AI technology stack, including multimodal technology and AGI, which allows customers to customize generative AI according to their needs. This fully lowers the development threshold of generative AI applications, accelerates the development process of generative AI applications, and greatly broadens the application scenarios of generative AI technology, truly making it easier for everyone to Start building AI applications.
To better promote the popularity of generative AI, WiMi promotes model performance optimization and industrial landing, promotes the orderly development of large model technology applications, and at the same time, uses the established advantages to feed the generative AI industry and realize the landing of generative AI faster. In the future, WiMi will continue to enhance its R&D investment in generative AI, continuously optimize its product structure, and lead the development opportunities of the AI track, which will be extremely beneficial to its consolidation of existing customers and expansion of new customers.
Conclusion
With the rapid development of AI technology, the industry has ushered in unprecedented changes, whether it is to open up the technology ecosystem or to promote the collaborative development of industry, all aimed at creating a broader environment and a more solid foundation for the development of a generative AI ecosystem. And it is foreseeable that with the joint efforts of many practitioners and partners, actively striving for the benefits brought by generative AI, generative AI will also play a more important role in the future, bringing more far-reaching impact on society, and greater changes likely to come.
