Jessica Livingston – Founding partner of Y Combinator.Elon Musk – CEO of Tesla, SpaceX, and Twitter.Sam Altman – Former president of technology accelerator Y Combinator.OpenAI’s research areas include machine learning and artificial intelligence. The company is focused on developing and promoting friendly AI in a way that benefits humanity as a whole. OpenAIĬhatGPT is the brainchild of OpenAI, an artificial intelligence research laboratory consisting of the for-profit OpenAI LP and its parent company, the non-profit OpenAI Inc. The result will be displayed at the top of the web page. The ChatGPT interface is pretty simple, consisting of a text box for entering your question or command. The current public beta is trained on data that was finalized at the beginning of 2022, so it has limited knowledge of events after 2021. It’s been trained on a large language model that has taught it basically everything and every subject in every language.ĬhatGPT is NOT connected to the Internet, at least its dataset isn’t. ChatGPTĬhatGPT is an AI chatbot that works like no other chatbot you’ve previously encountered.

While most of our coding examples are C++ sketches for the Arduino IDE, we will also have ChatGPT use MicroPython to create an ESP32 web server. And today, we will test its ability to write code for both an Arduino Uno and an ESP32 module. While most of the focus on ChatGPT has been on its astounding ability to produce original, human-sounding text, it is also capable of writing programming code.Īctually ChatGPT can code in a wide variety of languages, including languages like C++ and MicroPython that can be used with microcontrollers. Its ability to deliver human-like responses to non-structured questions has both amazed and frightened people. Since its release on November 30, 2022, ChatGPT has taken the world by storm. Today, we will use the amazing ChatGPT chatbot to write C++ and MicroPython code for both an Arduino Uno and an ESP32.įrom today onward, you now have an AI Assistant to help you with your microcontroller coding! Introduction 2.3.3 Step 3 – Optimize a policy against the reward model using the PPO reinforcement learning algorithm.2.3.2 Step 2 – Collect comparison data and train a reward model.

2.3.1 Step 1 – Collect demonstration data and train a supervised policy.

C++ code writer