What are the benefits of using pre-trained models in AI?

What are the benefits of using pre-trained models in AI?

Pre-trained models save time and resources, as they are already trained on large datasets and can be fine-tuned for specific tasks.

Can you give me some examples of pre-trained models?

Sure! Examples include BERT for natural language processing and ResNet for image classification.

How do pre-trained models improve accuracy?

They leverage knowledge from vast datasets, allowing them to generalize better and perform well on new, unseen data.

Are there any downsides to using pre-trained models?

Yes, they may not always fit specific tasks perfectly and can require additional fine-tuning to achieve optimal performance.