How are AI models trained?

How are AI models trained?

AI models are trained using large datasets and algorithms that adjust the model's parameters to improve accuracy.

What types of data are used for training?

Training data can include text, images, audio, and more, depending on the model's purpose.

How long does the training process usually take?

The training duration varies widely, from hours to weeks, based on the model size and data complexity.

Can AI models learn from new data after training?

Yes, many models can be fine-tuned or updated with new data to improve their performance.

What are some challenges in training AI models?

Challenges include data quality, overfitting, computational resources, and ensuring ethical use.