Nvidia uses chat robots in chip design process
On Monday, October 31st, chip manufacturer Nvidia announced a new research achievement that uses chat robots in the chip design process to improve communication and testing efficiency.Modern chips are large-scale integrated circuits composed of billions of transistors, and arranging them on small silicon wafers is one of the most difficult tasks in the technology industry, requiring tens of thousands of engineers to complete for up to two years
On Monday, October 31st, chip manufacturer Nvidia announced a new research achievement that uses chat robots in the chip design process to improve communication and testing efficiency.
Modern chips are large-scale integrated circuits composed of billions of transistors, and arranging them on small silicon wafers is one of the most difficult tasks in the technology industry, requiring tens of thousands of engineers to complete for up to two years.
Nvidia chips are very complex and are also the core of artificial intelligence technologies such as ChatGPT.
This new study utilizes the big language model behind chat robots and Nvidia's 30-year chip design archive data. One application is to use the company's long history of chip design to answer questions.
Bill Dally, Chief Scientist of NVIDIA, said, "We have found that many senior designers spend a lot of time answering questions from junior designers. Now we have designers ask questions to chat robots, which can save senior designers a lot of time
The key finding of this study is that by adding a large amount of company specific data, even ordinary chat robots can be more accurate than advanced chat robots. Nvidia stated that this helps to control system costs.
Nvidia also demonstrated another feature, which is the use of artificial intelligence to generate code. Daley said that engineers spend most of their time searching for possible problems in chips and using testing tools to identify the causes.
Artificial intelligence systems can quickly generate scripts for testing tools to test designed chips.
Daley said, "Our goal is not to automate processes or replace human roles, but to enhance employees' existing abilities and make them more efficient
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