It depends on the complexity of the AI model and the size of the dataset being used. A CPU may be able to run a localized AI model for small datasets and less complex models. However, for larger and more complex models, a CPU may not have the required processing power to efficiently train or execute the model. GPUs, on the other hand, can handle large-scale parallel computations and are typically better suited for training and running complex machine learning models. In summary, while a CPU may be sufficient for some localized AI applications, a GPU is generally preferred for more complex and larger scale AI tasks.
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence