>give me the exact original file of ml_ltv_training.py i passed you in the first message
I don't get this kind of thinking. Granted I'm not a specialist in ML. Is the temperature always 0 or something for these code-focused LLMs? How are people so sure the AI didn't flip a single 0 to 1 in the diff?
Even more so when applied to other more critical industries, like medicine. I talked to someone who developed an AI-powered patient report summary or something like that. How can the doctor trust that AI didn't alter or make something up? Even a tiny, single digit mistake can be quite literally fatal.
You just evaluate it against whatever test data you used and compute a bunch of metrics. You decide to use the model, if "bad things" happen at an acceptable enough rate.