Companies can fine-tune top performing LLMs to condition the LLMs output, but not to embody the knowledge contained in proprietary data. The current best approach for incorporating this custom knowledge is through data augmented generation techniques and technologies such as what LangChain offers.

I am trying to decide whether to invest time building an expertise in these techniques and technologies. I may not wish to do so if the ability to add custom knowledge properly in the LLMs will arrive in short order.

I would like to know from those steeped in LLM R&D how soon such capabilities might be expected. Is this the right place to ask?