Modern chips are circuits built out of tens of billions of transistors, and figuring out how to arrange them on a piece of silicon is one of the hardest tasks in the technology industry, taking thousands of engineers up to two years to complete.
On Monday, Nvidia presented research where it took what is called a large language model, the technology behind chatbots, and augmented it with 30 years of data from its archives of designing chips. One of the first applications is to use the company's long history in answering questions. The key finding in the research was that a relatively modest chatbot could become more accurate than an advanced chatbot by specifically adding in lots of specific data from the company's experience, which Nvidia said can help control the cost of the system.
To carry out that testing, AI systems can quickly write piece of code called a script that operates the tool.