On MobileCS2, a GPT-2 finetuned with retrieved knowledge outperforms a prompted GPT-3.5 in both RAG and agent dialog systems, though the comparison is confounded.
Retrieval-augmented generation for knowledge-intensive NLP tasks,
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Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems
On MobileCS2, a GPT-2 finetuned with retrieved knowledge outperforms a prompted GPT-3.5 in both RAG and agent dialog systems, though the comparison is confounded.