Recently, the founder of 360Zhou HongyiAt the "2023 Fengma Niu Year-End Show", I shared my thoughts on the development trend of 2024.Big ModelTen predictions on the development trend of big models, calling on enterprises to fully investAI, establish "AI faith".
Zhou Hongyi believes that future innovation opportunities will mainly focus on the field of large models, so he put forward ten predictions regarding the development trend of large models.
Zhou Hongyi's top ten predictions for the large models include:
- Large models have become a standard in digital systems and are ubiquitous;
- Open source big models are experiencing an explosion;
- "Small models" emerge and run on more terminals; Industry level;
- Large models will rise in the enterprise market and develop towards depth, industrialization, and verticalization;
- In terms of technology development and application, Agent intelligence will stimulate the potential of large models and become super productivity tools.superproductivesuperProductivity tools
- At the same time, 2024 will be the year of large-scale model application scenarios, and "killer" applications will emerge;
- Multimodality becomes a standard for large models;
- AIGC features such as text-to-image and text-to-video have experienced breakthrough growth;
- Embodied intelligence empowers the humanoid robot industry to flourish
- Large models will drive breakthroughs in fundamental science.
In his exchange with foreign counterparts, Zhou Hongyi shared the current situation of the US industry going all in on AI, and stressed the importance of finding incremental markets through AI innovation. He said that he is a firm believer in development, and believes that the big model has already started a new round of industrial revolution, and that not developing will be the biggest safety risk.most notablemaximum unsafe factors.
Zhou Hongyi called on more companies to establish "AI faith" and fully invest in AI innovation. He emphasized that innovation is not just about inventing new things, but also about reshaping "old businesses" with new methods. He cited companies such as Microsoft as examples of companies that have successfully reshaped products and business processes through large models. Therefore, he suggested that companies include "AI content" in business assessment indicators to evaluate the performance of business departments in terms of resource investment in AI, talent concentration, product conversion efficiency, and employees' familiarity with AI open source projects and products from a more comprehensive perspective. This move is expected to help companies better adapt to future AI development trends.