Machine learning based AI, particularly the Transformer and Large Language Model AI found in ChatGPT, has captured most of the tech headlines in recent years for good reason. Self-Driving cars, which will use AI to upend the world’s 3rd largest industry are also embracing these new AI technologies as fast as they can.
There are other believers in E2E, however, to various degrees, including UK startup Wayve and Toronto startup Waabi, which both presented at Nvidia GTC. Open source ADAS tool “comma” has also long used it, and HYPR, the new startup from Zoox co-founder Tim Kenley-Klay also is reported to use this approach. Writing the software is “easy” because you don’t write much, what matters is getting the right training data, and lots of it, combined with lots of compute.
Nuro, for example, which makes delivery vehicles, has both an AI planner and a traditional one, and they both make proposals for what the machine should do at any given moment. Another tool then picks which of the plans it thinks is best. Usually it’s the AI planner that makes the best and most human-like choice.
Tesla Nvidia GTC Chatgpt Zoox Llm Transformer Machine Learing Waabi Wayve
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