Ask HN: Finetune LLMs with data or use RAG?
For AI applications built for businesses that would be enhanced by industry vertical specific knowledge, which would be the better approach - finetuning the model on ground data or using retrieval augmented generation?
Would like to hear the community's thoughts re: benefits and concerns.
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