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Related Questions
- What are the primary challenges faced by large language models in handling cold start scenarios?
- How does pre-training address the issue of limited or no training data for new entities or topics in large language models?
- Can you explain the concept of knowledge graph embeddings and how they can be used to alleviate cold start issues in large language models?
- What is the role of transfer learning in pre-training and how does it help mitigate cold start problems in large language models?
- How does pre-training enable large language models to generalize better to unseen entities and topics, reducing the cold start effect?
- Can you discuss the impact of pre-training on the ability of large language models to handle out-of-vocabulary words and phrases?
- What are some common techniques used in pre-training to enhance the robustness and adaptability of large language models in cold start scenarios?
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