When your chatbots outshine their human trainers, you could pay for expertise ... or just augment your crowdsourced workforce
To help catch code errors made by ChatGPT, OpenAI uses human AI trainers in the hope of improving the model. To help the human trainers, OpenAI has developed another AI model called CriticGPT – in case the humans don't spot the mistakes.
So as an aid to the people tasked with providing feedback to make its models more capable of generating programming code, OpenAI created another model – to critique those generative responses. This approach apparently leads to better results than just relying on crowdsourced workers – who at $2 per hour probably aren't computer science professors or trenchant technical writers, or whatever the prevailing annotation rate happens to be.
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