How ChatGPT is Trained to Respond to Us | Barron's
Have you ever wondered how chatbots like ChatGPT are trained to respond to us? It's fascinating to learn about the technology behind it.
Stage 1: Collect Data from Human Responses
The first stage in training a conversational robot like ChatGPT is collecting data from human responses. This data is used to train the AI model to understand how humans communicate and respond to various questions and prompts.
Stage 2: Train a Model to Evaluate Responses
The next stage involves training a model to evaluate responses. ChatGPT uses an evaluation system to fine-tune its future responses. The system assesses the relevance of its own response and proposes an answer.
Stage 3: Reinforcement Learning
In the final stage of training, reinforcement learning is used to further refine ChatGPT's responses. This involves the AI proposing an answer, formulating requests, and proposing responses to human examples of correct answers.
Through these three stages, ChatGPT is trained to respond to us in a way that is relevant and helpful. It's amazing to see how far AI technology has come in recent years.
