Martin Keen drops a solid architectural guide on whether model fine-tuning is still necessary for modern AI setups. He provides a clean decision-making framework, comparing heavy weight modifications to prompt engineering, Retrieval-Augmented Generation (RAG), LoRA, and agent skills.
The video highlights how to achieve specialized performance, balance context windows, and cut compute costs without over-engineering your backend.
Perfect watch if you are architecting an enterprise LLM pipeline.