What are Pre-Trained Models, Fine-Tuning, RAG, and Prompt Engineering? A Simple Kitchen Guide

The article explains pre-trained models, fine-tuning, and RAG using food analogies to clarify their roles in AI development. Pre-trained models are likened to frozen meals, ready for prompt engineering; fine-tuning is compared to adding personal seasoning to adjust the model's behavior without altering its knowledge base; RAG is described as serving fresh side dishes alongside the meal, providing real-time context to prevent hallucinations and ensure accurate responses.

Developers should consider using pre-trained models for general tasks requiring speed and minimal customization, fine-tune when consistent style and format are critical, and implement RAG for scenarios needing up-to-date information from external sources.

Read the full article at DEV Community

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