Matthew HonnibalWhat will production NLP look like, once the dust settles around LLMs? One view is basically “prompts are all you need”. I disagree. I wrote a bit about this when we released #spaCy LLM last week, but the topic deserves its own post, so here it is.
Against LLM maximalism · Explosion
LLMs are not a direct solution to most of the NLP use-cases companies have been working on. They are extremely useful, but if you want to deliver reliable software you can improve over time, you can't just write a prompt and call it a day. Once you're past prototyping and want to deliver the best system you can, supervised learning will often give you better efficiency, accuracy and reliability.