A beginner-friendly comparison of fine-tuning and prompt tuning as two approaches to customizing LLMs for production use. Fine-tuning involves retraining a model on domain-specific data for high accuracy at higher cost, while prompt tuning guides model behavior through crafted instructions without retraining. Covers when to use
Table of contents
IntroductionReal-World LLM ArchitectureWhat is Fine-Tuning in AI?What is Prompt Tuning in AI?Fine-Tuning vs Prompt TuningWhen Should You Use Fine-Tuning?When Should You Use Prompt Tuning?SummarySort: