Every article tagged AI, in one place.
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Choose a cloud API when you need the strongest model, little hardware and fast iteration. Choose a local model when data must stay private, volume is high and steady, or you must work offline. Many teams use both: local for cheap, sensitive or bulk work, cloud...
Fine-tuning means continuing the training of an already pretrained model on your own examples so that its weights change and it behaves the way you want by default. Instead of describing the behaviour in a prompt every time, you show the model hundreds or thou...
Running an LLM locally means the model file sits on your own computer or server and the text generation happens on your own CPU or GPU. No prompt leaves your network, and you do not pay per token. You trade the convenience and top quality of hosted APIs for co...
