Author(s): Mehul Ligade
Originally published on Towards AI.
Every few months, something in AI gets declared dead. Prompt engineering. RAG. Transformers. And now, fine-tuning.
Here is the honest answer: fine-tuning is not dead. But the problem it was solving — “how do I get this model to know and do the right things?” — has a better solution now. And the sooner you understand that distinction, the faster you stop building systems that break the moment the world changes.
This article is not another hot take. It is not a LinkedIn post dressed up as a technical guide. It is what I wish I had read before I made expensive decisions in the wrong direction.
