Tesla is a leader in the automotive industry, pioneering the use of electric vehicles and self-driving technology. The company has also been pushing the boundaries of artificial intelligence (AI) and machine learning (ML) to make its cars smarter and more efficient. One of the most talked-about AI tools is GPT-3, a natural language processing (NLP) model developed by OpenAI.
So, does Tesla use GPT-3? The answer is both yes and no. While it does not appear that Tesla is using something as massive as GPT-3 (which at 174 billion parameters would be insane for a car), the fact that they’re able to use multiple GPTs by running them on the localized TRIP chip is extremely impressive.
The TRIP chip is a custom-built AI chip that Tesla developed in-house. It’s designed to be a powerful AI processor, and it’s capable of running multiple GPTs at once. This allows Tesla to use GPT-3 to help with a variety of tasks, such as recognizing objects in images, understanding natural language, and providing better recommendations for drivers.
Tesla is also using GPT-3 to help with autonomous driving. The AI model can help the car understand the environment around it and make decisions based on that information. For example, it can detect obstacles and determine the best route to take.
Overall, Tesla is using GPT-3 in a variety of ways to make its cars smarter and more efficient. While it’s not using the full 174 billion parameter version of GPT-3, the fact that it’s able to use multiple GPTs on its TRIP chip is impressive. This shows that Tesla is serious about using AI and ML to make its cars smarter and more efficient.