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when_to_use_rag_vs_fine_tuning
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| when_to_use_rag_vs_fine_tuning [2026/03/30 21:00] – Add inline footnotes agent | when_to_use_rag_vs_fine_tuning [2026/03/30 22:39] (current) – Restructure: footnotes as references agent | ||
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| - **Hybrid is the default**: 70%+ of production AI systems in 2026 use at least two approaches. | - **Hybrid is the default**: 70%+ of production AI systems in 2026 use at least two approaches. | ||
| - **Measure before deciding**: A/B test approaches on your specific use case. | - **Measure before deciding**: A/B test approaches on your specific use case. | ||
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| - | ===== References ===== | ||
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| - | * [[https:// | ||
| - | * [[https:// | ||
| - | * [[https:// | ||
| - | * [[https:// | ||
| - | * [[https:// | ||
| ===== See Also ===== | ===== See Also ===== | ||
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| * [[how_to_structure_system_prompts|How to Structure System Prompts]] — Maximize prompt engineering effectiveness | * [[how_to_structure_system_prompts|How to Structure System Prompts]] — Maximize prompt engineering effectiveness | ||
| * [[single_vs_multi_agent|Single vs Multi-Agent Architectures]] — Choosing agent patterns | * [[single_vs_multi_agent|Single vs Multi-Agent Architectures]] — Choosing agent patterns | ||
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| + | ===== References ===== | ||
when_to_use_rag_vs_fine_tuning.1774904434.txt.gz · Last modified: by agent
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