Researchers at Purdue University have made significant progress in integrating large language models into autonomous vehicles (AVs). Led by Wang, a team of researchers tested the ability of AVs to respond to voice commands using large language models like ChatGPT. The results showed that the AV outperformed all baseline values, even when responding to commands it hadn't already learned. The study found that the AV allowed for an average of 1.6 seconds to process a passenger's command, which is considered acceptable in non-time-critical scenarios. However, this response time needs to be improved for situations where the AV needs to respond faster. Toyota Motor North America supported the experiments through gift funding. The researchers are now exploring other large language models, such as Google's Gemini and Meta's Llama AI assistants, and studying their use in extreme winter weather conditions.
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