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
- What are some common pitfalls to avoid when designing effective prompts for large language models?
- How can I use metrics such as perplexity and perplexity-based metrics to evaluate the quality of generated text?
- What are some techniques to use to prevent underfitting in language models, such as regularization and early stopping?
- Can you explain the concept of calibration in the context of language models, and how it relates to underfitting?
- What are some strategies for using active learning to select the most informative data for a language model to improve its performance and prevent underfitting?
- How can I use human evaluation and other forms of feedback to help prevent underfitting in language models?
- What are some best practices for tuning hyperparameters in language models to avoid underfitting and overfitting?
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