
AI & Models16 min
July 28, 2026RAG vs Fine-Tuning: What Teams Are Choosing in 2025? Data from Practice
New benchmarks show: hybrid approach (RAG + fine-tuning) delivers 86% accuracy vs 75% for base GPT-4. How to choose in practice?
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New benchmarks show: hybrid approach (RAG + fine-tuning) delivers 86% accuracy vs 75% for base GPT-4. How to choose in practice?

Running frontier LLMs in production is expensive and slow. Learn how LoRA fine-tuning of a 2B Vision Language Model on an NVIDIA L4 GPU achieves parity with GPT-5 at a fraction of the cost.