What are some examples of fine-tuning in AI?
Fine-tuning in AI involves adjusting a pre-trained model on a specific dataset. For example, using BERT for sentiment analysis.
Can you give me another example?
Sure! GPT-3 can be fine-tuned for specific tasks like generating code or writing poetry based on a smaller dataset.
What are the benefits of fine-tuning?
Fine-tuning improves model performance on specific tasks, reduces training time, and requires less data compared to training from scratch.
Are there any risks associated with fine-tuning?
Yes, risks include overfitting to the fine-tuning dataset and potential biases being amplified in the model's predictions.
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