Ask HN: What do data scientists need to know about LLMs to be competitive?

I have noticed job postings asking for experience with LLMs, but they are a bit vague. The most specific requirements I found were RAG, fine-tuning, and PyTorch.

I'd like to understand what I need to learn about LLMs to be competitive for data science positions. I have no experience with deep learning, generative models, and NLP, but I have a Ph.D. in a CS-adjacent area.