Prompt Engineering versus Fine-Tuning
Jeremy Harper · Productivity Press eBooks · 2025
Fine-tuning an LLM involves changing the underlying neural network to better approximate a new training set that you have provided. That new training set, in general, is intended to help ensure that the LLM knows the types of outputs you are interested in receiving.