What is fine-tuning in AI models?
An example of an AI chatbot conversation about fine-tuning AI models for better performance.
What is fine-tuning in AI models?
Fine-tuning is the process of taking a pre-trained model and training it further on a specific dataset to improve its performance.
Why is fine-tuning important?
Fine-tuning allows models to adapt to specific tasks or domains, enhancing their accuracy and relevance.
Can you give an example of fine-tuning?
Sure! For instance, a language model pre-trained on general text can be fine-tuned on medical texts to better understand medical terminology.
What are the challenges of fine-tuning?
Challenges include overfitting, requiring a large amount of labeled data, and ensuring the model retains its general knowledge.
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