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- How does Infermatic.ai's solution leverage knowledge distillation to improve fine-tuning of large language models?
- Can you explain the role of multi-task learning in Infermatic.ai's solution for transfer learning in large language models?
- In what ways does Infermatic.ai's solution enable dynamic adaptation of large language models to new tasks or domains?
- How does Infermatic.ai's solution address the challenge of catastrophic forgetting in large language models during fine-tuning?
- Can you describe the benefits of using meta-learning in Infermatic.ai's solution for model adaptation in large language models?
- How does Infermatic.ai's solution facilitate the use of few-shot learning for large language models?
- What is the impact of Infermatic.ai's solution on the overall efficiency and scalability of large language model fine-tuning and transfer learning processes?
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