[D] Advice on a Modern NLP Roadmap (for someone with strong ML theory background)
A machine learning PhD needs a fast-track to modern NLP. Here's the plan.
Deep Dive
A user with a PhD in ML theory asked the r/MachineLearning community for a 4-week, high-level NLP crash course, explicitly skipping beginner tutorials. The goal is to bridge the gap from understanding core concepts like backpropagation to mastering modern Transformers for industry roles. The post requests recommendations for seminal papers, advanced repositories like NanoGPT, and whether building from scratch is the optimal path, sparking a detailed community discussion.
Why It Matters
It highlights the rapid pace of AI, where even experts need dedicated roadmaps to catch up to the state-of-the-art.