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Today we are looking at how you could fine tune a model in GPT-3. This video might be a bit longer than usual, but I think its necessary. I know this might not be for everyone, but I think you could greatly benefit from learning about this because I see a lot of implications in large language models in the next few years. So anyway, I think we can just get going. So lets start by looking at what we actually are gonna do today to fine tune our model. You have to excuse me, Im a bit sick but I think its gonna be okay. So the first thing we have to do is create our desired output with a good prompt. So the thing about fine tuning is you are basically trying to create a consistent output that meets our criteria every single time. So When you run a model you really want the same format output every time. That could be length, that could be how the text is structured. Is it a list? Were gonna have a look at that. But to do fine tuning you need some data. So what actually Im gonna do i