How does AI learn multiple subjects?

How does AI learn multiple subjects?

AI learns multiple subjects through a process called transfer learning, where knowledge from one area is applied to another.

Can you explain transfer learning in more detail?

Sure! Transfer learning involves training a model on a large dataset and then fine-tuning it on a smaller, specific dataset to adapt to new tasks.

What are some examples of AI using transfer learning?

Examples include language models like GPT, which are trained on diverse text and can then be fine-tuned for specific applications like chatbots.

Are there limitations to how AI can learn multiple subjects?

Yes, limitations include the quality of the training data and the model's ability to generalize knowledge across different subjects.