Singapore‘s Sapient Intelligence Startup, a new artificial intelligence architecture has developed a new artificial intelligence architecture that can compete with large language models (LLM) and in some cases surpassed them.
This architecture, known as the “hierarchical reasoning model”, is designed to be inspired by the manner of human brain function. The system focuses on how the human brain uses distinct systems for slow and conscious planning along with fast and intuitive calculations.
This new architecture can transform the development of artificial intelligence
This model achieves significant results by using a small volume of data and memory that today’s large language models need. This high performance can have important benefits for real applications of artificial intelligence at the organizational level; Especially when the data are limited and low computational resources.
In the face of complex issues, large language models rely largely on the “chain of thought”. In this way, the problem is broken into the middle steps of the text, and the model is practically forced to think long or explicitly express its mental stages when moving to the solution.
Singapore’s researchers, however, have claimed in their article that the use of COT for reasoning is not a satisfactory solution, but a temporary support. This method relies on fragile breakdowns and pre -defined by humans, where even a small mistake or displacement of the arrangement of the steps can remove the entire process of reasoning.
But to overcome this stage, the researchers examined the concept of “hidden reasoning”, in which the model performs the process of reasoning in the form of internal and abstract representations instead of producing intellectual signs. This approach is more consistent with human thinking.
Finally, the researchers have been able to develop a new architecture that is up to 5 times faster than the current models, and with only a thousand training samples have achieved this level of skill and speed.
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