Welcome to the FAQ page for Infermatic.ai! Here, you can find answers to your questions about large language models and the AI industry. Whether you’re curious about how to use our tools or want to learn more about AI, this page is a great place to start.
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Related Questions
- How do large language models handle out-of-vocabulary words and unseen contexts in real-world applications?
- What are the consequences of overfitting and underfitting in large language models, and how can they be mitigated?
- Can you explain the concept of contextualized embeddings in large language models and their impact on downstream tasks?
- What are the differences between fine-tuning and training from scratch in large language models, and when is each approach preferred?
- How do large language models handle multi-task learning and transfer learning, and what are their benefits and limitations?
- What are the challenges and trade-offs of using large language models in low-resource languages or domains with limited training data?
- Can you discuss the role of prompt engineering in large language models, and how it can be used to improve their performance and interpretability?
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