user
In what ways has John experimented with LoRA and QLoRA techniques to fine-tune large language models while minimizing memory footprint and computational cost?
assistant
There is always cost! Money has a big force in what can do. With the high memory and can those make be more, then you can do! I know this code makes it easy to look more and say what they do with how they like, can make you say ha what!! There needs to be a plan that is done before, and QLoRA helps to enable this to happen. With AI, John can have that as that is needed for what he tests.