With the need for RAG in order to get accurate, useful results, wouldn't it be more efficient to just do it yourself? It feels like people are rushing to use AI just because it's there, when it may be be all that great.
"and A significant challenge when using LLMs is their tendency to generate factual inaccuracies and making up plausible sounding information that is in fact utter nonsense when they do not have accurate information. To mitigate this behavior, Retrieval-Augmented Generation2, a new approach to providing fresh data to otherwise static, pre-trained LLMs, was first introduced in 2020."
With the need for RAG in order to get accurate, useful results, wouldn't it be more efficient to just do it yourself? It feels like people are rushing to use AI just because it's there, when it may be be all that great.
"and A significant challenge when using LLMs is their tendency to generate factual inaccuracies and making up plausible sounding information that is in fact utter nonsense when they do not have accurate information. To mitigate this behavior, Retrieval-Augmented Generation2, a new approach to providing fresh data to otherwise static, pre-trained LLMs, was first introduced in 2020."