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[P] I got a ML internship and have no idea what to do (alien.top)

submitted 1 year ago by danielwilu2525@alien.top to c/machinelearning@academy.garden

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I’ve got research background in ML but never actually developed any models as it was all theoretical work. I got lucky during the interview stage for this role as my research impressed them. My project involves fine-tuning a GPT-3 model for a specific task and host the model on a website. Does anyone have any tips on how to go about learning what I need to know to do this? Also what should I consider when curating my custom dataset when fine-tuning the model? I really want this to be a learning experience for me.

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[–] ZachVorhies@alien.top 1 points 1 year ago

Yeah none of this requires an ML degree. You are doing data plumbing which means looking at the api and making sure your data goes from your computer to theirs and then using the stored server state to perform computation.

I recommend using python and using the openai python bindings to handle the plumbing. I wrote a simple script in about a day. Depending on your level of skill with python it could take a bit longer than that.