We are using both openAI and Google's Bard. There are some aspects to each of them - but it's still mostly 'WIP'. The main challenge is how to 'tune' these LLMs

We are using both openAI and Google's Bard. There are some aspects to each of them - but it's still mostly 'WIP'. The main challenge is how to 'tune' these LLMs with our own data as another layer that can improve the overall performance (=quality of answers).