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 metrics should I use to compare the performance of a custom-trained model with a pre-trained model on the same task?
- How can I control for bias in my comparison of the custom-trained and pre-trained models?
- What are some common pitfalls to avoid when comparing the performance of custom-trained and pre-trained models?
- What role does domain knowledge play in determining whether a custom-trained model outperforms a pre-trained model on a specific task?
- Can I use transfer learning to leverage a pre-trained model as a starting point for fine-tuning a custom-trained model?
- What are some scenarios in which a custom-trained model is likely to outperform a pre-trained model, and vice versa?
- How can I effectively evaluate the generalizability of a custom-trained model compared to a pre-trained model on unseen data?
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