Real-life use

[StrangeTcy]

I've tested this approach on a single-language (English) LlaMA, and it worked great, except:

1. it didn't get the LinkedIn layoff answer right
2. it didn't output any spaces between words

But the thing that I wonder about is real-life use: when you address a question to an LLM, you don't normally provide the context as well.
Is there a way to provide it anyway?
Also, is there any specific finetuning procedure that'd make the model better at using this approach?

[bojone]

You can use the nearby text as a query and divide the distant text into multiple shorter contexts through a sliding window.