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.
You should check out the Low Rank Adaptation (LoRA) repo and try running the example for finetuning gpt2 small. Once you got than running you could use the library for finetuning other larger open source models on cloud (check out SkyPilot for this)