The NLP Course is becoming the LLM Course

honestly? it's not a transition; it's a rebranding. everyone calls the new stuff 'LLM,' but the actual skill is still prompt engineering and knowing how to pipeline data efficiently. the old NLP courses taught the foundational math, and now we just slap a fancy wrapper on it. if you just memorize APIs, you're dead. you need to understand attention mechanisms and vector databases before you touch a fine-tuning job.

look, the real bottleneck isn't the model; it's the context window management and the retrieval strategy. stop chasing the newest framework hype and focus on latency. spend your time making sure the prompt leads to actionable output, not just verbose rambling. it's the engineering behind the language that matters, not just the academic title.