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 ways to collect diverse and representative datasets for language model training?
- How can we ensure that the data used to train language models is free from cultural and social biases?
- What are some strategies for addressing biases in data collection, such as using active learning or human evaluation?
- Can you explain the concept of 'data curation' and its importance in ensuring inclusive language model training data?
- How can we use data augmentation techniques to increase the diversity of the training data?
- What are some ways to measure the representativeness and inclusivity of language model training data?
- Can you discuss the role of human evaluation in identifying and addressing biases in language model training data?
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