NVIDIA's latest released General Deep Research (UDR) system is attracting widespread attention in the tech industry. This system is not only compatible with any large language model (LLM), but also provides users with highly customizable deep research strategies, completely changing the way research agents used to work.
According to NVIDIA's latest paper, the core advantage of the UDR system lies in its extreme flexibility. In the past, deep research agents often relied on hard-coded methods, and users could only use fixed tools and strategies for research, without the ability to make personalized adjustments. The release of the UDR system means that users can freely create, edit, and optimize their own research strategies, even without additional model training.
The UDR system comes with a user-friendly interface that allows users to input research prompts, update progress at any time, and view the final report. Unlike traditional conversational LLMs, the UDR can continuously provide feedback to users during the research process, greatly improving research efficiency.
Notably, the UDR system decouples research logic from the language model in its design, allowing developers to flexibly choose the most advanced AI models and combine them with customized research plans. This innovative combination enables users to create more powerful and adaptable deep research tools.
Although the UDR system has many advantages, there are still some areas that need improvement. The accuracy of the system depends on the quality of code generated by the underlying AI model. Additionally, the research strategies designed by users must be reasonable and feasible; otherwise, it may lead to low-quality reports. Furthermore, the current version lacks user intervention capabilities during execution, as all decisions must be pre-set before the research begins, limiting flexibility.
Researchers have proposed further improvement plans, including providing a modifiable strategy library and more flexible user control features. Although the UDR system is still in the prototype stage, its future prospects are undoubtedly promising.
As technology continues to advance, NVIDIA's UDR system will bring more creativity and flexibility to researchers, driving deep research to a higher level.
