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 watch out for when collecting negative examples for machine learning models?
- How can I determine the quality of the negative examples collected for my model?
- What are some metrics or techniques I can use to evaluate the effectiveness of negative example collection?
- How can I identify if my model is overfitting to the negative examples and what are the consequences of overfitting?
- What are some strategies to prevent overfitting when collecting negative examples?
- Can you describe the differences between underfitting and overfitting, and how do they relate to negative example collection?
- How can I balance the number and quality of positive and negative examples to avoid underfitting and overfitting?
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