What is AI model fine-tuning?
AI model fine-tuning is the process of taking a pre-trained model and adjusting it on a specific dataset to improve performance.
Why is fine-tuning important?
Fine-tuning allows the model to adapt to specific tasks or domains, enhancing its accuracy and relevance.
How do I fine-tune a model?
You typically start with a pre-trained model, then train it further on your dataset using techniques like transfer learning.
What are some common frameworks for fine-tuning?
Popular frameworks include TensorFlow, PyTorch, and Hugging Face's Transformers library.
Can fine-tuning be done on any model?
Most models can be fine-tuned, but the effectiveness depends on the architecture and the quality of the dataset.
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