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On Tuesday, OpenAI introduced fine-tuning for GPT-3.5 Turbo—the AI mannequin that powers the free model of ChatGPT—by means of its API. It permits coaching the mannequin with customized information, similar to firm paperwork or venture documentation. OpenAI claims {that a} fine-tuned mannequin can carry out in addition to GPT-Four with decrease value in sure situations.
In AI, fine-tuning refers back to the technique of taking a pretrained neural community (like GPT-3.5 Turbo) and additional coaching it on a unique dataset (like your customized information), which is usually smaller and probably associated to a particular activity. This course of builds off of information the mannequin gained throughout its preliminary coaching part and refines it for a particular utility.
So mainly, fine-tuning teaches GPT-3.5 Turbo about customized content material, similar to venture documentation or some other written reference. That may come in useful if you wish to construct an AI assistant primarily based on GPT-3.5 that’s intimately accustomed to your services or products however lacks data of it in its coaching information (which, as a reminder, was scraped off the online earlier than September 2021).
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