RAG is more effective and cost-efficient than fine-tuning for industrial QA adaptation on automotive datasets.
Cost-of-Pass: An economic framework for evaluating language models
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Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications
RAG is more effective and cost-efficient than fine-tuning for industrial QA adaptation on automotive datasets.
- Declarative Data Services: Structured Agentic Discovery for Composing Data Systems