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 the potential issues with using a pre-trained model that has been fine-tuned on a different task or dataset than the current task?
- How can I evaluate the quality and relevance of a pre-trained model's knowledge graph or embeddings?
- What are some common biases or artifacts that can be inherited from a pre-trained model, and how can I address them?
- What are the implications of using a pre-trained model that has been trained on a biased or incomplete dataset?
- How can I determine the optimal level of fine-tuning or adaptation for a pre-trained model to achieve good performance on the target task?
- What are some techniques for avoiding overfitting or underfitting when fine-tuning a pre-trained model?
- How can I ensure that the pre-trained model is compatible with my specific hardware or software infrastructure?
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