How ChatGPT and Other LLMs Work and Where They Could Go Next
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Trained supervisors and end-users help to train LLMs by pointing out mistakes, ranking answers based on how good they are. As these LLMs get bigger and more complex, their capabilities will improve. We know that chat GPT-4 has in the region of 100 trillion parameters, up from 175 million in chat GPT 3.5. The most likely next word isn't always the right one.
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