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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.

Hello folks, basically same thing as title, does anybody have any actionable insights into how to avoid thinking "this is doomed to fail" when thinking of new ideas, and how to not procrastinate and actually build stuff instead? Asking because I quit my day job months ago to "start my own company" but have been beaten by my worst enemy - myself.