We used it for code generation. But we ended up spending more time fixen and debugging the generated code than it would have taken us to just write it. Also it introduces the most annoying type of bugs. Like once it misspelled a property name, but only at one point in the code, got it right everywhere else.

That's why, in the case of a GPT model you would feed it custom training data using something like LlamaIndex. I don't know if there's an API available for Bard, tho.

You're wrong assuming that the free models that we have at our disposal are the only possible and best implementations of these LLMs.