![]() ![]() ![]() RT-2 almost doubles this rate, successfully performing new tasks 62 percent of the time it’s asked to. But when prompted to do new tasks they weren’t trained for, robots using RT-1 were only successful 32 percent of the time. The software was used in Alphabet X’s Everyday Robots, enabling them to do over 700 different tasks with a 97 percent success rate. RT-1 was based on a small language and vision program and specifically trained to do many tasks. It’s short for robotics transformer 2, and it’s the successor to robotics transformer 1, which the company released at the end of last year. Given how useful LLMs have been for humans in the short time they’ve been around, how might a ChatGPT for robots impact their ability to learn and do new things? Researchers at Google DeepMind decided to find out and published their findings in a blog post and paper released last week. It and other large language models (LLMs) have facilitated tasks from fielding customer service calls to taking fast food orders. ![]() Ever since ChatGPT exploded onto the tech scene in November of last year, it’s been helping people write all kinds of material, generate code, and find information. ![]()
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