Should I train my AI model from scratch or use a pre-trained model?

What are the benefits of training an AI model from scratch?

Training from scratch allows for complete control over the model architecture and data, potentially leading to better performance for specific tasks.

What about using a pre-trained model?

Pre-trained models save time and resources, as they leverage existing knowledge and can be fine-tuned for specific applications.

Are there any downsides to using pre-trained models?

Yes, pre-trained models may not perform well on niche tasks and can introduce biases present in the training data.

Which approach is generally recommended for beginners?

For beginners, starting with pre-trained models is often recommended, as it simplifies the process and allows for quicker experimentation.