The training process, conducted in partnership with Microsoft, was done on their Azure supercomputing system, which supplied a cost-effective and speedy result. Through a series of iterations of Proximal Policy Optimization (PPO), these ratings were used to build 'reward models' that further refined the model. As for the reinforcement step, the trainers rated the output of the model from a previous session. For the supervised phase, the model was exposed to conversations between a user and an AI assistant, both sides of which were played by the trainers. This AI chatbot can be used to create customer service chatbots, virtual assistants, customer service bots, and much more.ĬhatGPT underwent fine-tuning through a combination of supervised and reinforcement learning, both requiring the assistance of human trainers. The model is used to generate text responses to user input in a conversational manner. The system is based on the GPT-3 model, which is a large-scale language model developed by OpenAI that has been trained on hundreds of billions of words from the internet.
It is designed to understand natural language and respond in a meaningful way. It is powered by a neural network that has been trained on millions of conversations.
ChatGPT is an open-source conversational AI system created by OpenAI, founded by Sam Altman.
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