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 sources of biased training data that can impact a language model's generalization?
- Can biased training data affect the performance of a language model in real-world scenarios?
- How can data curation and preprocessing methods impact the quality of a language model's training data?
- What role do annotators play in introducing bias into a language model's training data?
- Can language model developers detect and mitigate biases in training data through testing and validation?
- How can the use of domain adaptation and transfer learning impact a language model's generalization to new, unseen data?
- What are some strategies for addressing biases in language model training data, such as data augmentation and adversarial training?
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