Large language models (LLMs) can be customized in two main ways: prompt engineering and fine-tuning. The key difference is that prompt engineering modifies prompts to guide the model’s existing knowledge, while fine-tuning retrains the model on new data to adapt its behavior or domain expertise. Prompt engineering is usually the quicker, lighter approach. Fine-tuning is [...] Read More... The post Prompt engineering vs. fine-tuning: Key differences appeared first on Hostinger Tutorials.
