Robot with GPT
reference wolframalpha-as-the-way-to-bring-computational-knowledge-superpowers-to-chatgpt chatgpt-gets-its-wolfram-superpowers what-is-chatgpt-doing-and-why-does-it-work Next-Generation Human-Robot Interaction with ChatGPT and ROS Dolly v2.0 Principle building The recent hot chatgpt, advancing generative AI to a new level, but currently see most people apply it to chat tools, and even some people use it as Wikipedia, but I think since it is generative, why not use it to do the interaction between human and robot, we use a specific defined natural language to describe the operation we need to let the robot do. chatgpt translates our natural language into a structured language similar to program source code by understanding it, and then inputs it into the robot’s system, and the robot operating system will follow the input structured language to complete the corresponding operation. So I was thinking how to combine RoboMaster EP with LLM language class model to accomplish human-robot interaction. API applications like chatgpt have a disadvantage because their models run in the cloud and are restricted to certain countries and regions, so commercial industrial LLM applications are basically ruled out and I wanted to be able to run the models locally and train and optimize them by myself. At this time Databricks released Dolly v2.0 model, the dataset and the training model are all open source and can be applied to the commercial domain, after reading the related introduction I decided to use dolly v2.0 as my first choice for the local LLM model. ...