I work in NLP. Work mainly consists of fine tuning NLP models. With the rise of LLMs I'm seeing a lot of my work becoming Prompt engineering. I'm happy to pick up the new skill but I'd like to know what avenues I have to upskill beyond being a prompt engineer without a PhD. Feels like all the learning I did on model architectures etc is going to waste. There are still a few projects that need me to fine tune a model for text classification etc but as LLMs get better I suspect I need better skills to go beyond becoming a prompt engineer. For anyone else in NLP who doesn't have a PhD and doesn't have any experience building model architectures/training from scratch etc, how are all of you trying to up skill in these times? EDIT: Worded the question to ask only people who don't have a PhD, I would actually like to know everyone's perspective on this.