Baseline First

Build a prompt-only baseline and a retrieval (RAG) baseline before fine-tuning. Only train after the simpler baselines fail at something specific, and judge the fine-tuned model against those baselines, not against its training loss.

Core Idea

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Key Principles

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Examples

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Connections

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Source

Extracted from How To Fine-Tune a Small LLM on Your Own Data (Full Guide)