RAG

While LLMs are clearly impressive and powerful technologies, they have some limitations. Firstly, LLMs are only as good as the data on which they were trained, and they can be expensive and time-consuming to train, so for most companies, it would not be feasible to retrain them with new information every day. For this reason, in many cases, updated versions of LLMs tend to be released every few months. This means that the information provided in their responses depends on their most recent training dataset. If you want to ask about something that happened yesterday, but the LLM was last updated a month ago, it simply will not have any information on that topic. This can be quite limiting in today’s fast-paced business world, where people and applications constantly need up-to-date knowledge at their fingertips.

Secondly, unless you are one of the large corporations that have created the popular LLMs being used today, you most likely did not train the LLM yourself from...