Training an AI on your own data isn’t some single, magic button. It’s really a focused, four-part process. It kicks off with gathering and cleaning up your specific data, then moves to picking a pre-trained model that fits the job, then you get into the fine-tuning… teaching that model with your prepared data. Finally, you have to test it to make sure the thing actually works like you hoped it would. This whole journey is what turns a general-purpose AI into a specialist that genuinely ...
