Artificial intelligence chatbots like ChatGPT use a complicated series of equations to understand and respond to your prompts. Here’s a look inside the system:
ChatGPT also has an extra layer of training, referred to as reinforcement learning from human feedback. While previous training is about getting the model to fill in missing text, this phase is about getting it to put out strings that are coherent, accurate and conversational.
At the end of the process, there is no record of the original training data inside the model. It doesn’t contain facts or quotes that can be referred to — just how related or unrelated words were to one another in action.This set of data turns out to be surprisingly powerful. When you type your query into ChatGPT, it translates everything into numbers using what it learned during training. Then it does the same series of calculations from above to predict the next word in its response.
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