What are the advantages of transfer learning in AI?
An example of an AI chatbot conversation about the benefits of transfer learning in AI models.
What are the advantages of transfer learning in AI?
Transfer learning allows models to leverage knowledge from pre-trained models, improving efficiency and accuracy.
Can you give me an example of how it's used?
Sure! It's often used in image recognition, where a model trained on a large dataset can be fine-tuned for a specific task.
What are the limitations of transfer learning?
Some limitations include the need for a similar domain and potential overfitting if the new dataset is too small.
Is transfer learning applicable in natural language processing?
Absolutely! It's widely used in NLP, especially with models like BERT and GPT, which are pre-trained on vast text corpora.
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