"The United States has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the practice and procedure of AI use globally," the brief reads.
Can you reasonably train a local model? Inference is one thing and can be run on a decent gaming graphics card but training requires a lot more compute.
You can absolutely train a nontrivial task model on a gaming gpu (image classifier, sound classifier, text model with a very structured input and output, etc). You can also post-train addon layers on top of existing open-weight models (LORA).
Can you reasonably train a local model? Inference is one thing and can be run on a decent gaming graphics card but training requires a lot more compute.
You can absolutely train a nontrivial task model on a gaming gpu (image classifier, sound classifier, text model with a very structured input and output, etc). You can also post-train addon layers on top of existing open-weight models (LORA).
Can you train it better than anything already available on model zoos for free though? If not then beside learning I dont see the point.
Depends on the size of the training data, how big the resulting model is, and how fast you want it to finish.