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Related Questions
- What is the primary benefit of using pre-trained language models in NLP tasks?
- How do pre-trained language models adapt to custom knowledge graphs in NLP applications?
- What are some challenges associated with fine-tuning pre-trained language models for custom knowledge graphs?
- Can you explain the concept of knowledge distillation in the context of transfer learning for NLP?
- How do pre-trained language models handle out-of-vocabulary words when applied to custom knowledge graphs?
- What is the role of hyperparameter tuning in transfer learning for pre-trained language models on custom knowledge graphs?
- Can you provide an example of a real-world NLP application that utilizes transfer learning with pre-trained language models and custom knowledge graphs?
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